kamruleee51

MRI-Brain-Segmentation-and-3D-Reconstruction-of-Brain

First of all, the brain has been segmented using image Analysis method from the dicom MRI. After that 3D reconstruction has been implemented for the 3D view of the segmented brain region.

Skin-Lesion-Segmentation-Using-Computer-Vision-Algorithms

This project is for the skin lesion segmentation that will be used further for the classification of skin cancer.

Surgical-Tool-Type-Classification

In this project, the different types surgical tool is classified using CNN.

UNet-based-Lung-Segmentation

In this project, lung is segmented for the lung nodules classification. This code has been implemented in Keras API by following UNet Structure.

kamruleee51.github.io

Pima-Indians-Diabetes-Classification-Using-SVM

Various hyper-parameters of the C-SVM and nu-SVM will be analyze in this project for the Diabetes Classifications.

3D-Semantic-Segmentation-for-the-Brain-Tissue-Segmentation

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

CAD-system-for-Breast-Images

In this project, background tissue types, class of abnormality types, severity class types of the breast will be implemented from the single CNN network.

CLR

cnnshapes

Visualizing intermediate activation in Convolutional Neural Networks with Keras

cyclic-learning-rate

Cyclic learning rate TensorFlow implementation.

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

Face-recognition-Using-CNN-on-Keras-API

jupyter-navbar

A handy navigation pane for Jupyter Notebook that follows markdown headers

keras-segmentation

基于keras的语义分割，fcn32/fcn8/SegNet/U-Net

keras-tensorflow-windows-installation

10 easy steps to install Tensorflow-GPU and Keras in Windows

MKH

Here, You will get my Curriculum Vitae

Object-Classification-and-Localization-with-TensorFlow

This repository is containing an object classification & localization project for SINGLE object.

opencv

Open Source Computer Vision Library

Pima-Indians-Diabetes-Classification-Using-kNN

Diabetes data has been classified using LDA, QDA and k-NN classifier.

Pima-Indians-Diabetes-Classification-Using-MLP

Diabetes data has been classified using Multi Layer Perceptions (MLP).

PlotNeuralNet

Latex code for making neural networks diagrams

Retinal-Vessel-Segmentation

Retinal Vessel Segmentation based on Fully Convolutional Networks

robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

segmentation_models

Segmentation models with pretrained backbones. Keras.

Skin-Lesion-Classification

In this project, image classification tasks have to be implemented that involve three unique diagnoses of skin lesions which are melanoma, nevus, and seborrheic keratosis. To implement this classifier, "ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection" database has been used.

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

unet

unet for image segmentation