Pinned Repositories
3rd-place-kaggle-siim-isic-melanoma-classification
Kaggle SIIM-ISIC melanoma classification: 3rd place solution overview
AIX360
Interpretability and explainability of data and machine learning models
Augmentor
Image augmentation library in Python for machine learning.
DTP-Net
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images
EMST
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
google-research
Google Research
Hair-Removal-for-Skin-Melanoma-Detection
IECET
Automated illumination correction with counter exponential transform and modified residual network for macroscopic images of skin lesions
Review-CNN-Melanoma
Convolutional neural networks for the automatic diagnosis of melanoma: an extensive experimental study
Sorting-Images-to-folders-with-metadata-file
VipinBioLab's Repositories
VipinBioLab/DTP-Net
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images
VipinBioLab/EMST
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
VipinBioLab/Hair-Removal-for-Skin-Melanoma-Detection
VipinBioLab/Sorting-Images-to-folders-with-metadata-file
VipinBioLab/Augmentor
Image augmentation library in Python for machine learning.
VipinBioLab/google-research
Google Research
VipinBioLab/IECET
Automated illumination correction with counter exponential transform and modified residual network for macroscopic images of skin lesions
VipinBioLab/Review-CNN-Melanoma
Convolutional neural networks for the automatic diagnosis of melanoma: an extensive experimental study
VipinBioLab/3rd-place-kaggle-siim-isic-melanoma-classification
Kaggle SIIM-ISIC melanoma classification: 3rd place solution overview
VipinBioLab/AIX360
Interpretability and explainability of data and machine learning models
VipinBioLab/Classification-of-Cat-or-Dog-on-Kaggle-Dataset
CNN model using Keras to classify the Image to Cat or Dog.
VipinBioLab/cvpr-skin-solo-ensemble
Code repository for the paper “Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification”
VipinBioLab/derm7pt
Dermatology dataset composed of a diagnosis and seven-point checklist criteria labels
VipinBioLab/DNNorDermatologist
Supporting code for Deep Neural Network or Dermatologist?
VipinBioLab/F-MLP
This code is related to our paper "A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images" (Frontiers in Medicine, 2020)
VipinBioLab/fuzzedge
FuzzEdge: An edge detection algorithm
VipinBioLab/GANMole
This code uses a Generative Adversarial Network (GAN) to generate melanoma images using Keras
VipinBioLab/hair-removal
EMBC 2013: A Robust Hair Segmentation and Removal Approach for Clinical Images of Skin Lesions
VipinBioLab/Illumination-based-Transformations-Skin-Lesion-Segmentation
This is the code corresponding to our CVPR ISIC 2020 paper.
VipinBioLab/isic-2019
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
VipinBioLab/MATLAB-Python-inpainting-codes
This is the companion software for the book "Partial Differential Equation Methods for Image Inpainting" (C.-B. Schönlieb, Cambridge University Press, 2015)
VipinBioLab/MCC-Loss
VipinBioLab/melanoma-detection-python
A python program to categorize skin lesions as benign or melanoma based on ABCD features.
VipinBioLab/Patch-Augmentation
Code for the implemenation of the Patch Augmentation technique
VipinBioLab/Recommendation-for-understanding-of-semantic-segmentation-using-CNN
Easy understanding of the semantic segmentation using CNN with some recommended links.
VipinBioLab/skin-data-augmentation
Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018
VipinBioLab/Skin-Lesion-Segmentation-Using-Proposed-DSNet
In this repository, the source code and segmented mask from semantic segmentation network so-called Dermoscopic Skin Network (DSNet) of the skin lesion have been added.
VipinBioLab/SPBL_Pytorch
PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition"
VipinBioLab/TSNE
t-distributed Stochastic Neighbor Embedding
VipinBioLab/vision_transformer