Mohsin Furkh's Projects
Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
:metal: awesome-semantic-segmentation
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
About The ‘Breast-Lesion-Classification’ aims to provide BUS classification-related codes for further studies. ALL of them are used just for research, but not for commerce. And the web is updating consistently. If you have any questions, do not hesitate to contact us! (E-mail: [email protected], Zhenyuan Ning; or [email protected], Yu Zhang)
Breast mass segmentation in US with deep learning
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
List of Computer Science courses with video lectures.
Deep Learning Papers on Medical Image Analysis
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
EfficientU-Net: A Novel Deep Learning Method for Breast Tumor Segmentation
Spam classifier program in python which can tell whether a given message is spam or not. We have used K Nearest Neighnour ML algorithm for this classification. For message embedding we have used zeugma.embeddings library of python.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This grand challenge involves creating multi-task multimodality frameworks aiming at predicting labels for a given tweet.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!
MICCAI 2020-2022 Open Source Papers
MICCAI 2022 Paper with Code
Config files for my GitHub profile.
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
Latex code for making neural networks diagrams