Our solution for ICIAR 2018 Grand Challenge

A breakdown of 100 days encapsulating my journey of learning ROS, starting at the basic and upscaling to advanced concepts

RECOD Titans participation at the ISBI 2017 challenge - Part 3

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

Codes to process and train LIMUC dataset

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

Aim of this project is to use Computer Vision techniques of Deep Learning to correctly identify & map Brain Tumor for assistance in Robotic Surgery.

Artificial Intelligence: Evaluating AI, optimizing AI

AI based health checkup web tool

📎 About MIMBCD-UI Project

Our solution for ICIAR 2018 Grand Challenge BACH dataset

Suspicious Regions-Based Whole Slide Image Analysis

Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

Investigating the reproducibility of federated GNN models

Cardiac MR image processing.

✨ [AVI 2020] A prototype platform for lesion annotations and manual segmentation on breast cancer diagnosis with a multimodality strategy. The work was presented in the Advanced Visual Interfaces (AVI) conference.

Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

Apna Doctor is an AI based Health Check-Up Web Application