mr7495/RetinaNet_Motile_objects_Detection

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Updated over 3 years ago

mr7495/RetinaNet_Motile_objects_Detection

mr7495

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Implementation of multi-frames detection method for motile objects detection that is used in the paper: https://arxiv.org/abs/2002.04034

COVID-CTset

Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588

COVID-CT-Code

Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588

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covid19

Covid-19 and Pneumonia detection from X-ray Images from the paper: https://doi.org/10.1016/j.imu.2020.100360

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Sperm_detection_and_tracking

Sperm detection and tracking methods from this paper: https://arxiv.org/abs/2002.04034

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Pistachio-Counting

The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6

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Pesteh-Set

Pesteh-Set, the pistachios dataset from the paper https://doi.org/10.1007/s42044-021-00090-6

image-classification-spatial

A novel architecture for enhancing image classification. Reference paper: https://arxiv.org/abs/2104.12294

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OCT-classification

ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images

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RetinaNet

RetinaNet object detector forked from https://github.com/fizyr/keras-retinanet