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
Artificial Intelligence: Evaluating AI, optimizing AI
Aim of this project is to use Computer Vision techniques of Deep Learning to correctly identify & map Brain Tumor for assistance in Robotic Surgery.
📎 About MIMBCD-UI Project
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
Suspicious Regions-Based Whole Slide Image Analysis
Our solution for ICIAR 2018 Grand Challenge BACH dataset
Investigating the reproducibility of federated GNN models
AI based health checkup web tool
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
Apna Doctor is an AI based Health Check-Up Web Application
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
✨ [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.
Comparison of three techniques of melanoma screening.
A quality control system for automated prostate segmentation on T2-weighted MRI
Cardiac MR image processing.
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