Skin cancer classification using improved transfer learning model‐based random forest classifier and golden search optimization

Classification of skin cancer using convolutional neural networks analysis of Raman spectra

(2022) Ivan A. Bratchenko et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of dog skin diseases using deep learning with images captured from multispectral imaging device

(2022) Sungbo Hwang et al.   Molecular & Cellular Toxicology

A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier

(2022) Sunanda Das et al.   EXPERT SYSTEMS WITH APPLICATIONS

A hierarchical three-step superpixels and deep learning framework for skin lesion classification

(2021) Farhat Afza et al.   METHODS

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

(2021) Muhammad Attique Khan et al.   PATTERN RECOGNITION LETTERS

An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection

(2021) Mohammad Shorfuzzaman   MULTIMEDIA SYSTEMS

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

(2021) Parvathaneni Naga Srinivasu et al.   SENSORS

A benchmark for neural network robustness in skin cancer classification

(2021) Roman C. Maron et al.   EUROPEAN JOURNAL OF CANCER

Deep learning enhances polarization speckle for in vivo skin cancer detection

(2021) Yuheng Wang et al.   OPTICS AND LASER TECHNOLOGY

An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification

(2021) Andre G. C. Pacheco et al.   IEEE Journal of Biomedical and Health Informatics

An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images

(2021) Rocío del Amor et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning

(2020) Aditya Khamparia et al.   Transactions on Emerging Telecommunications Technologies

A multi-class skin Cancer classification using deep convolutional neural networks

(2020) Saket S. Chaturvedi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

(2020) Douglas de A. Rodrigues et al.   PATTERN RECOGNITION LETTERS

Self-Supervised Learning to Increase the Performance of Skin Lesion Classification

(2020) Arkadiusz Kwasigroch et al.   Electronics

Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques

(2019) Nazia Hameed et al.   EXPERT SYSTEMS WITH APPLICATIONS

AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework

(2019) Min Chen et al.   Information Fusion

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

(2018) Philipp Tschandl et al.   Scientific Data

An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction

(2018) Amira Soudani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms

(2010) Kai Hu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT