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Papers
2005.10992
Cited By

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

v1v2v3 (latest)

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

22 May 2020

ArXiv (abs)PDF HTML Github (39★)

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

5 / 5 papers shown

Hyperbolic Secant representation of the logistic function: Application
to probabilistic Multiple Instance Learning for CT intracranial hemorrhage
detection

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

Aggelos K. Katsaggelos

226

7

0

21 Mar 2024

Class Activation Map-based Weakly supervised Hemorrhage Segmentation
using Resnet-LSTM in Non-Contrast Computed Tomography images

Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images

Shreyas H Ramananda

198

2

0

28 Sep 2023

Res-Dense Net for 3D Covid Chest CT-scan classification

Res-Dense Net for 3D Covid Chest CT-scan classification

191

2

0

09 Aug 2022

Weakly supervised deep learning-based intracranial hemorrhage
localization

Weakly supervised deep learning-based intracranial hemorrhage localizationBioimaging (Bristol. Print) (BBP), 2021

Roman Jakubicek

164

9

0

03 May 2021

Localization and classification of intracranialhemorrhages in CT data

Localization and classification of intracranialhemorrhages in CT data

Roman Jakubicek

134

6

0

07 Sep 2020

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