A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

22 May 2020

Papers citing "A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans"

6 / 6 papers shown

Title
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection Francisco M. Castro-Macías Pablo Morales-Álvarez Yunan Wu Rafael Molina Aggelos K. Katsaggelos 16 2 0 21 Mar 2024
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images Shreyas H Ramananda V. Sundaresan 23 0 0 28 Sep 2023
Res-Dense Net for 3D Covid Chest CT-scan classification Quoc-Huy Trinh Minh Le Nguyen T. Nguyen-Dinh MedIm 30 1 0 09 Aug 2022
Weakly supervised deep learning-based intracranial hemorrhage localization Jakub Nemček Tomáš Vičar Roman Jakubicek 21 8 0 03 May 2021
Localization and classification of intracranialhemorrhages in CT data Jakub Nemček Roman Jakubicek Jiri Chmelik 16 5 0 07 Sep 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018