Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy

A union of deep learning and swarm-based optimization for 3D human action recognition

(2022) Hritam Basak et al.   Scientific Reports

Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images

(2021) Yiping Jiao et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

(2021) Parvathaneni Naga Srinivasu et al.   SENSORS

Immunomagnetic sequential ultrafiltration (iSUF) platform for enrichment and purification of extracellular vesicles from biofluids

(2021) Jingjing Zhang et al.   Scientific Reports

A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification

(2021) Moumita Mandal et al.   SENSORS

Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors

(2021) Parvathaneni Naga Srinivasu et al.   Journal of Real-Time Image Processing

Inhibition of triple negative breast cancer metastasis and invasiveness by novel drugs that target epithelial to mesenchymal transition

(2021) Elizabeth Garcia et al.   Scientific Reports

Breast cancer detection from histopathology images with deep inception and residual blocks

(2021) Shiksha Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation

(2021) Sonali Dash et al.   Diagnostics

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

(2020) Wouter Bulten et al.   LANCET ONCOLOGY

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

(2020) Foivos I. Diakogiannis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods

(2020) Muhammad Fazal Ijaz et al.   SENSORS

Cotton pests classification in field-based images using deep residual networks

(2020) Adão Nunes Alves et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Integrative Data Augmentation with U-Net Segmentation Masks Improves Detection of Lymph Node Metastases in Breast Cancer Patients

(2020) Yong Won Jin et al.   Cancers

PadChest: A large chest x-ray image dataset with multi-label annotated reports

(2020) Aurelia Bustos et al.   MEDICAL IMAGE ANALYSIS

A new method for synthesizing test accuracy data outperformed the bivariate method

(2020) Luis Furuya-Kanamori et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Detection of breast cancer lymph node metastases in frozen sections with a point-of-care low-cost microscope scanner

(2019) Oscar Holmström et al.   PLoS One

Detection of lung cancer lymph node metastases from whole-slide histopathological images using a two-step deep learning approach

(2019) Hoa Hoang Ngoc Pham et al.   AMERICAN JOURNAL OF PATHOLOGY

Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic

(2019) Chunyan Ma et al.   Dose-Response

Nanotechnology platforms for cancer immunotherapy

(2019) Zhaogang Yang et al.   Wiley Interdisciplinary Reviews-Nanomedicine and Nanobiotechnology

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

(2019) Li-Qiang Zhou et al.   RADIOLOGY

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification

(2018) Amirhessam Tahmassebi et al.   COMPLEXITY

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

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Learning scale-variant and scale-invariant features for deep image classification

(2017) Nanne van Noord et al.   PATTERN RECOGNITION

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Discrimination between tumour epithelium and stroma via perception-based features

(2015) Francesco Bianconi et al.   NEUROCOMPUTING

Analysis of nuclei textures of fine needle aspirated cytology images for breast cancer diagnosis using Complex Daubechies wavelets

(2012) S. Issac Niwas et al.   SIGNAL PROCESSING

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies

(2010) S. Doyle et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Metastatic Behavior of Breast Cancer Subtypes

(2010) Hagen Kennecke et al.   JOURNAL OF CLINICAL ONCOLOGY

American Society of Clinical Oncology/College of American Pathologists Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer

(2010) M. Elizabeth H. Hammond et al.   Journal of Oncology Practice