Smitha-anil
I am a Data Scientist @Niramai, working in the field of medical image processing towards cancer detection
India
Pinned Repositories
ADMM-DIPTV
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
AlgorithmsForMassiveData
Colab notebooks from Algorithms for Massive Data course at University of Milan
AMDprogressCNN
Late AMD progression classification using fundus images and genotypes
asl-tgv
Total generalised variation denoising for arterial spin labelling MRI data
Augmentor
Image augmentation library in Python for machine learning.
AutoMetric
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
Binary_classification
Binary classification of csv file using machine learning and deep learning models
MIPRO_2020
fluid segmentation in OCT images
Retinal-OCT-Images
Retinal OCT Images (optical coherence tomography)
Smitha-anil's Repositories
Smitha-anil/Binary_classification
Binary classification of csv file using machine learning and deep learning models
Smitha-anil/ADMM-DIPTV
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
Smitha-anil/Augmentor
Image augmentation library in Python for machine learning.
Smitha-anil/BCDU-Net
BCDU-Net : Medical Image Segmentation
Smitha-anil/blockmatching
Block Matching algorithm to identify moviment in sequence images
Smitha-anil/BOE2020-OCTA-vessel-segmentation
This repo contains an implementation of the methods described in 'Deep iteratitive vessel segmentation in OCT angiography'
Smitha-anil/CCPi-Regularisation-Toolkit
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Smitha-anil/DeepSeeNet
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
Smitha-anil/dip_vbtv
Smitha-anil/drusen_seg
The drusen segmentation model for early AMD.
Smitha-anil/DrusenSegmentation-ModifiedChen
Smitha-anil/EyeQ_Enhancement
Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'
Smitha-anil/Low-light-Image-Enhancement
Python implementation of two low-light image enhancement techniques via illumination map estimation
Smitha-anil/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Smitha-anil/machine_learning_basics
Plain python implementations of basic machine learning algorithms
Smitha-anil/mural-image-inpainting
Mural image inpainting, Mural damage repair, Line drawing guided image inpainting
Smitha-anil/njhigham-bib
BibTeX bibliography for papers, books, EPrints, articles, etc. of Nicholas J. Higham.
Smitha-anil/Non-Local-Means
Python implementation of the Non Local Means algorithm for image denoising.
Smitha-anil/Non-local_pytorch
Implementation of Non-local Block.
Smitha-anil/oct_preprocess
OCT preprocessing: Fully Convolutional Boundary Regression for Retina OCT Segmentation
Smitha-anil/ocular-disease-intelligent-recognition-deep-learning
ODIR-2019. Ocular Disease Intelligent Recognition Through Deep Learning Architectures
Smitha-anil/one-model-to-reconstruct-them-all
Code for our Paper "One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN"
Smitha-anil/PEIPNet
[MDPI Sensors] Official PyTorch Implementation of "PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution"
Smitha-anil/Python-Deep-Learning-for-Beginners-
Code Repository for Python Deep Learning for Beginners, published by Packt
Smitha-anil/python_ML_Demos
Some programs that helped me to learn the concepts of machine learning using python
Smitha-anil/retinex
A python implementation of MSRCR algorithm for enhancing low-light images.
Smitha-anil/Retinex-Image-Enhancement
Practical Implementation of Single Scale Retinex and Multiscale Retinex Algorithm in Python 3
Smitha-anil/RetinexDIP
The pytorch implementation of RetinexDIP, a unified zero-reference deep framework for low-light enhancement.
Smitha-anil/RetinexNet
A Tensorflow implementation of RetinexNet
Smitha-anil/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.