ML Model using Keras and Tensorflow (testing... not 100% accurate)

DICOM Slice classifier with transfer learning via ResNet50 with ImageNet weights

Using CNN models to predict whether someone has an ear infection based on their otoscopy.

Hidden Markov Random Field Model and its Expectation-Maximization

Classification of COVID-19 Infected and Healthy people based on Lung Xray images.

CNN model using TensorFlow for liver disease detection. It trains the model, evaluates its accuracy, and saves it for future use. Ideal for building a liver disease detection system.

Predict a bounding box around the heart in X-ray images.

A repository that allows users to apply the DLICV method to their brain imaging data.

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps reduce the number of premature deaths. In the study, I am working on creating a convolutional neural network capable of identifying tumor areas within medical images (which were taken with ultrasound).

Detection of Bone Joints using Deep Learning

● This repository encompasses a collection of my research and contributions across various online competitions and related areas.

Identifying and segmenting pneumothorax pulmonary disease in chest x-rays. Codes and data related to SIIM-ACR Pneumothorax Segmentation Kaggle Challenge.

Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia 🩺💜

Python Open-source package for medical images processing and radiomics features extraction.

Medical Image Analysis Tools and Techniques

Lung Opacities Detection using Auxiliary Deep Generative Models