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[MICCAI 2024] Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
Papers of ComputerVision x Surgery
Classifying Sports Action in video clips using Deep Learning (flow networks)
Program for the analysis and visualization of whole-slide images in digital pathology
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Using STM32 Discovery microcontroller to output a voltage signal to control the MOSFET switches in the inverter
STM32 codes for a Three-phase full bridge digital DC-AC inverter