Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Authors
Keywords
-
Journal
Computational and Mathematical Methods in Medicine
Volume 2021, Issue -, Pages 1-28
Publisher
Hindawi Limited
Online
2021-11-01
DOI
10.1155/2021/9025470
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Going deeper: magnification‐invariant approach for breast cancer classification using histopathological images
- (2021) S. Alkassar et al. IET Computer Vision
- Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
- (2021) Oliver Diaz et al. Physica Medica-European Journal of Medical Physics
- Automatic and accurate abnormality detection from brain MR images using a novel hybrid UnetResNext-50 deep CNN model
- (2021) Hari Mohan Rai et al. Biomedical Signal Processing and Control
- A novel solution of using deep learning for prostate cancer segmentation: enhanced batch normalization
- (2021) Sushma Shrestha et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network
- (2021) Jing Wang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation
- (2021) Jingjing Wang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis
- (2021) Gwenolé Quellec et al. MEDICAL IMAGE ANALYSIS
- Reduced-Complexity LDPC Decoding for Next-Generation IoT Networks
- (2021) Muhammad Asif et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain
- (2021) Muhammad Tariq Sadiq et al. Journal of Healthcare Engineering
- Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation
- (2021) Xiahan Chen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight
- (2020) Shallu Sharma et al. JOURNAL OF DIGITAL IMAGING
- Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning
- (2020) Songhui Diao et al. AMERICAN JOURNAL OF PATHOLOGY
- Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multi-center study
- (2020) D. Dong et al. ANNALS OF ONCOLOGY
- Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides
- (2020) Ann-Christin Woerl et al. EUROPEAN UROLOGY
- Deep‐Learning Detection of Cancer Metastases to the Brain on MRI
- (2020) Min Zhang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks
- (2020) Ying Liang et al. RADIOTHERAPY AND ONCOLOGY
- Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features
- (2020) Xue Feng et al. Frontiers in Computational Neuroscience
- Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN
- (2020) Tomoyuki Shibata et al. Applied Sciences-Basel
- Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
- (2020) Milica M. Badža et al. Applied Sciences-Basel
- Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
- (2020) Tahir Mahmood et al. Journal of Clinical Medicine
- Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images
- (2020) Mohamed A. Naser et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI
- (2020) Qiyuan Hu et al. Scientific Reports
- Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules
- (2020) Jingzhe Ma et al. Computational Intelligence and Neuroscience
- Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
- (2020) Muhammad Attique Khan et al. Diagnostics
- A multi-path adaptive fusion network for multimodal brain tumor segmentation
- (2020) Yi Ding et al. NEUROCOMPUTING
- Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN
- (2020) Jindong Sun et al. NEUROCOMPUTING
- Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images
- (2020) Takafumi Nemoto et al. Physica Medica-European Journal of Medical Physics
- NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images
- (2020) Shyam Lal et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer
- (2020) Zhiyong Liu et al. Future Generation Computer Systems-The International Journal of eScience
- Development of a light‐weight deep learning model for cloud applications and remote diagnosis of skin cancers
- (2020) Hsin‐Wei Huang et al. JOURNAL OF DERMATOLOGY
- Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation
- (2020) Muhammad Owais et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
- (2020) Nikhil Naik et al. Nature Communications
- Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer
- (2020) Simon M. Thomas et al. MEDICAL IMAGE ANALYSIS
- Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
- (2019) Pandia Rajan Jeyaraj et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Urban environment and cancer in wildlife: available evidence and future research avenues
- (2019) Tuul Sepp et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer
- (2019) Zhi Huang et al. Frontiers in Genetics
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning
- (2019) SanaUllah Khan et al. PATTERN RECOGNITION LETTERS
- How to follow metabolic clues to find cancer’s Achilles heel
- (2019) Vivien Marx NATURE METHODS
- Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
- (2019) Juan Zhou et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
- (2019) Md Zahangir Alom et al. JOURNAL OF DIGITAL IMAGING
- Classification of breast cancer histology images using incremental boosting convolution networks
- (2019) Duc My Vo et al. INFORMATION SCIENCES
- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
- (2019) Mitko Veta et al. MEDICAL IMAGE ANALYSIS
- Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach
- (2019) Ghulam Murtaza et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope
- (2019) A. Dascalu et al. EBioMedicine
- A deep survival analysis method based on ranking
- (2019) Bingzhong Jing et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- An anchor-free region proposal network for Faster R-CNN-based text detection approaches
- (2019) Zhuoyao Zhong et al. International Journal on Document Analysis and Recognition
- Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
- (2019) Syed Jamal Safdar Gardezi et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- A 23 gene–based molecular prognostic score precisely predicts overall survival of breast cancer patients
- (2019) Hideyuki Shimizu et al. EBioMedicine
- Augmented Bladder Tumor Detection Using Deep Learning
- (2019) Eugene Shkolyar et al. EUROPEAN UROLOGY
- Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images
- (2019) C. Kaushal et al. IRBM
- Statistical genomics in rare cancer
- (2019) Farnoosh Abbas-Aghababazadeh et al. SEMINARS IN CANCER BIOLOGY
- Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
- (2019) Nasrullah Nasrullah et al. SENSORS
- Superior skin cancer classification by the combination of human and artificial intelligence
- (2019) Achim Hekler et al. EUROPEAN JOURNAL OF CANCER
- TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set
- (2019) Moran Rubin et al. MEDICAL IMAGE ANALYSIS
- Deep learning-based classification of mesothelioma improves prediction of patient outcome
- (2019) Pierre Courtiol et al. NATURE MEDICINE
- BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
- (2019) Mesut Toğaçar et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Deep Learning to Improve Breast Cancer Detection on Screening Mammography
- (2019) Li Shen et al. Scientific Reports
- Identification of 12 cancer types through genome deep learning
- (2019) Yingshuai Sun et al. Scientific Reports
- DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning
- (2019) Liu et al. Genes
- Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
- (2019) Ümit Budak et al. APPLIED SOFT COMPUTING
- Extracting comprehensive clinical information for breast cancer using deep learning methods
- (2019) Xiaohui Zhang et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images
- (2019) Muhammad Irfan Sharif et al. PATTERN RECOGNITION LETTERS
- A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
- (2019) Onur Ozdemir et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation
- (2019) Davood Karimi et al. IEEE Journal of Biomedical and Health Informatics
- Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels
- (2019) Chunli Sun et al. IEEE Journal of Biomedical and Health Informatics
- Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
- (2019) Xi Wang et al. IEEE Transactions on Cybernetics
- MuDeRN: Multi-category classification of breast histopathological image using deep residual networks
- (2018) Ziba Gandomkar et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
- (2018) Jared L. Katzman et al. BMC Medical Research Methodology
- Genetic Mosaicism and Cancer: Cause and Effect
- (2018) Anatoly V. Lichtenstein CANCER RESEARCH
- A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images
- (2018) Vitoantonio Bevilacqua et al. Cognitive Systems Research
- Innate sensing of cancer's non-immunologic hallmarks
- (2018) Ruth Seelige et al. CURRENT OPINION IN IMMUNOLOGY
- A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data
- (2018) Dongdong Sun et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
- (2018) Mugahed A. Al-antari et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Psycho-oncology: Overview, obstacles and opportunities
- (2018) Jimmie C. Holland PSYCHO-ONCOLOGY
- Defeating Cancers’ Adaptive Defensive Strategies Using Thermal Therapies: Examining Cancer’s Therapeutic Resistance, Ablative, and Computational Modeling Strategies as a means for Improving Therapeutic Outcome
- (2018) John M. Baust et al. TECHNOLOGY IN CANCER RESEARCH & TREATMENT
- Deep learning based tissue analysis predicts outcome in colorectal cancer
- (2018) Dmitrii Bychkov et al. Scientific Reports
- Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
- (2018) Travers Ching et al. PLoS Computational Biology
- Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
- (2018) Moi Hoon Yap et al. IEEE Journal of Biomedical and Health Informatics
- 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
- (2018) Geert Litjens et al. GigaScience
- Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks
- (2018) Dalal Bardou et al. IEEE Access
- Machine Learning Methods for Histopathological Image Analysis
- (2018) Daisuke Komura et al. Computational and Structural Biotechnology Journal
- History and evolution of cytogenetic techniques: Current and future applications in basic and clinical research
- (2018) Adayabalam S. Balajee et al. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS
- Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks
- (2018) Benjamin H. Kann et al. Scientific Reports
- Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection
- (2018) Yun Liu et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data
- (2018) Jie Hao et al. BMC BIOINFORMATICS
- A mix-pooling CNN architecture with FCRF for brain tumor segmentation
- (2018) Jie Chang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion
- (2018) Michal Byra et al. MEDICAL PHYSICS
- Classification of acute lymphoblastic leukemia using deep learning
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
- (2018) Shuo Wang et al. RADIOTHERAPY AND ONCOLOGY
- Multiple instance learning for histopathological breast cancer image classification
- (2018) P.J. Sudharshan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques
- (2018) Amita Das et al. Cognitive Systems Research
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status
- (2017) Panagiotis Korfiatis et al. JOURNAL OF DIGITAL IMAGING
- Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
- (2017) Arnaud Arindra Adiyoso Setio et al. MEDICAL IMAGE ANALYSIS
- Classification of breast cancer histology images using Convolutional Neural Networks
- (2017) Teresa Araújo et al. PLoS One
- Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
- (2017) Zhongyi Han et al. Scientific Reports
- A Dataset for Breast Cancer Histopathological Image Classification
- (2016) Fabio A. Spanhol et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Measuring cancer evolution from the genome
- (2016) Trevor A Graham et al. JOURNAL OF PATHOLOGY
- MO-DE-207B-06: Computer-Aided Diagnosis of Breast Ultrasound Images Using Transfer Learning From Deep Convolutional Neural Networks
- (2016) B Huynh et al. MEDICAL PHYSICS
- What do people fear about cancer? A systematic review and meta-synthesis of cancer fears in the general population
- (2016) Charlotte Vrinten et al. PSYCHO-ONCOLOGY
- Global Cancer Incidence and Mortality Rates and Trends--An Update
- (2015) L. A. Torre et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An integrated map of structural variation in 2,504 human genomes
- (2015) Peter H. Sudmant et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- BioGPS: building your own mash-up of gene annotations and expression profiles
- (2015) Chunlei Wu et al. NUCLEIC ACIDS RESEARCH
- External validation of a Cox prognostic model: principles and methods
- (2013) Patrick Royston et al. BMC Medical Research Methodology
- The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
- (2012) Christina Curtis et al. NATURE
- INbreast
- (2011) Inês C. Moreira et al. ACADEMIC RADIOLOGY
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
- (2011) Samuel G. Armato et al. MEDICAL PHYSICS
- GATExplorer: Genomic and Transcriptomic Explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs
- (2010) Alberto Risueño et al. BMC BIOINFORMATICS
- NCBI GEO: archive for functional genomics data sets--10 years on
- (2010) T. Barrett et al. NUCLEIC ACIDS RESEARCH
- Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data
- (2008) L. P. Petalidis et al. MOLECULAR CANCER THERAPEUTICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started