This repository details the various methods I have attempted for skin segmentation.
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Updated
Apr 28, 2024 - Python
This repository details the various methods I have attempted for skin segmentation.
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.
[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
A python web application I started to list the skin images I as working with for my research.
Live demo of skin detectors
Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.
Skin detection using Watershed and HSV/YCbCr colorspaces,
This repo is host for the experiments with combined rules to detect skin color pixels in colored images.
Adaptive rule based skin detector
International Skin Imaging Collaboration: Melanoma Project
A Python based skin detection system using OpenCV
AI-based localization and classification of skin disease with erythema
Color matching and detection, skin and finger detection with opencv
A framework for training mask-rcnn in pytorch on labelme annotations with pretrained examples of skin, cat, pizza topping, and cutlery object detection and instance segmentation
My master's degree dissertation. The complete text of a long long journey :)
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
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