Kumar Abhishek's repositories
Illumination-based-Transformations-Skin-Lesion-Segmentation
This is the code corresponding to our CVPR ISIC 2020 paper.
Corrected-Skin-Image-Datasets
Data and code for our analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets
KernelizedManifoldMapping-1
This is the code corresponding to our CVPR 2019 paper.
Mask2Lesion
Code corresponding to our MICCAI SASHIMI 2019 paper on shape-constrained skin lesion image synthesis.
McNemar-mid-p
Python implementation of the McNemar's mid-p statistical significance test.
melanoma-detection-python
A python program to categorize skin lesions as benign or melanoma based on ABCD features.
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
AnalyzingPostRock
Visualizing audio features of music albums using Spotify's Web API
cifar10-c-eval
Testing a model performance for CIFAR10-C
DDI-CoCo
Repository for DDI-COCO: A DATASET FOR UNDERSTANDING THE EFFECT OF COLOR CONTRAST IN MACHINE-ASSISTED SKIN DISEASE DETECTION
DNNorDermatologist
Supporting code for Deep Neural Network or Dermatologist?
fastdup
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
GALD-DGCNet
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
graduation
$ git remote <graduation> yearbook
IPMI2019-AttnMel
IPMI2019 paper - Melanoma Recognition via Visual Attention
LesionElevation
[MICCAI ISIC 2024] Code for "Lesion Elevation Prediction from Skin Images Improves Diagnosis"
StyleSeg
[MICCAI ISIC 2024] Code for "Segmentation Style Discovery: Application to Skin Lesion Images"
TransFuse
This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation