Skin Cancer Detection using AI and OpenCV

Skin Cancer Detection using EfficientNetB3 Architecture.

Research towards detecting and classifying skin cancer using hyperspectral images

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Developed in Python using keras library, and classified the skin lesions using the CNN, trained end-to-end from images directly, using only pixels data.

Learn to differentiate moles from skin cancer with this online quiz.

Assignments and Projects of CO410 AI and Expert Systems Course at NITK Surathkal

Project for the course of Algorithms for massive data

Seminar 3rd year project: Implementing CNNs classifying Melanoma skin cancers

UFMG DCC057, trabalho prático 3

Deep Learning approaches to predict the the cancerous ailments.

Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regio…

SKIN cancer Prediction

🔬 Using hyperspectral imaging to detect and classify skin lesions

Multiclass classification model using a custom convolutional neural network in Keras.

Terminal application to perform skin lesion segmentation & classification

This project aims at developing models for skin cancer classification and to further develop an architecture for lossless Segmentation of cancerous part.

Skin cancer prediction application with multiple pre-trained models