sMRI based depression classification using 3D volumetric convolutional networks
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Updated
Aug 30, 2018 - Python
sMRI based depression classification using 3D volumetric convolutional networks
Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models
Handling whole-slide images with region-level annotations.
Template LaTeX de TCC Engenharia Biomédica da UNIFESP-SJC.
This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.
This repository contains all the image processing algorithms studied in discipline "Imagens Biomédicas" of Biomedical Engineering course at UNIFESP in the first semester of 2017. All the algorithms are written in both MatLab and Python Languages.
This repository contains all the algorithms studied in discipline "Calculo Numerico" of Biomedical Engineering course at UNIFESP in the second semester of 2018.
Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model
Biomedical Image Analysis with TensorFlow and DLTK
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNet
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
Term Project on LIDC (Lung Cancer CT Scan) dataset
Code for brain tumor segmentaion
Fully automatic brain tumor segmentation using the Modified 3DUNet architecture for Brats 2020 Challenge.
My assignments and projects concerned with Biomedical Engineering
An entry to the ISBI 2021 Cell Tracking Challenge that uses a Mask R-CNN neural network to detect and segment cells in 2D and 3D microscopy
An example of easytorch implementation on retinal vessel segmentation.
Brain Tumor Segmentation using U2-Net Architecture
Keenly optimized obliging picture analysis
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