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MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification

MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification

20 April 2025
Santanu Roy
Shweta Singh
Palak Sahu
Ashvath Suresh
Debashish Das
ArXiv (abs)PDFHTML

Papers citing "MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification"

15 / 15 papers shown
Title
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's
  Detection from MRI Images
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images
Santanu Roy
Archit Gupta
Shubhi Tiwari
Palak Sahu
MedIm
91
4
0
12 Sep 2024
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
512
582
0
30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,566
0
25 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule
  Malignancy Prediction
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction
Parnian Afshar
F. Naderkhani
A. Oikonomou
M. Rafiee
Arash Mohammadi
Konstantinos N. Plataniotis
MedIm
51
41
0
13 Aug 2020
Dilated Convolutional Neural Networks for Sequential Manifold-valued
  Data
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data
Xingjian Zhen
Rudrasis Chakraborty
Nicholas M. Vogt
B. Bendlin
Vikas Singh
MedIm
52
37
0
05 Oct 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
227
16,598
0
17 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
204
19,333
0
13 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,557
0
05 Sep 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
813
3,293
0
24 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
325
20,086
0
07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,608
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
790
36,881
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
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