PARASIGHT

About

PARASIGHT is a automatic detection and classification system for parasitic eggs in whole slide microscopic images
Model: YOLOv5l with optimization for whole slide multi-scale scanning
Dataset: ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images
Parasites currently included: Ascaris lumbricoides, Capillaria philippinensis, Enterobius vermicularis, Fasciolopsis buski, Hookworm, Hymenolepis diminuta, Hymenolepis nana, Opisthorchis viverrine, Paragonimus spp, Taenia spp, Trichuris trichiura (11 classes)
Paper: Automatic Detection and Classification of Parasitic Eggs in Whole Slide Microscopic Images Using Multi-Scale Sliding Window YOLO Model (to be published)

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.github		.github
classify		classify
data		data
exp		exp
models		models
parasight		parasight
segment		segment
utils		utils
.dockerignore		.dockerignore
.gitattributes		.gitattributes
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
LICENSE		LICENSE
README.md		README.md
benchmarks.py		benchmarks.py
detect.py		detect.py
export.py		export.py
hubconf.py		hubconf.py
requirements.txt		requirements.txt
setup.cfg		setup.cfg
train.py		train.py
val.py		val.py