Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Some of the available datasets are downloaded in an uncompressed format. For example, Colin27 version 2008 takes 1014 MB. Some storage could be saved if the images were compressed after downloading.
There are all sorts of odd or even non-conformant DICOMs out in the world.
When we encounter parser failures on a DICOM (for both the current and the in progress rewrite), it would be good to be able to toggle a debug mode flag that can help us better dig into parsing failures and provide helpful information. Ideally if this information is not PHI (e.g. just DICOM tags, other general info), it
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
Some of the available datasets are downloaded in an uncompressed format. For example, Colin27 version 2008 takes 1014 MB. Some storage could be saved if the images were compressed after downloading.