HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Computer-aided diagnosis in medical imaging: historical review, current status and future potential

Kunio Doi · 2007

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Earlier work this paper cites.

Multi-scale context aggregation by dilated convolutions

Original

Fisher Yu and Vladlen Koltun · 2015

Earlier work this paper cites.

V-net: Fully convolutional neural networks for volumetric medical image segmentation

Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016

Earlier work this paper cites.

A survey on deep learning in medical image analysis

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen Awm Van Der Laak, Bram Van Ginneken, and Clara I Sánchez · 2017

Earlier work this paper cites.

Xception: Deep learning with depthwise separable convolutions

François Chollet · 2017

Earlier work this paper cites.

Unet++: A nested u-net architecture for medical image segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2018

Earlier work this paper cites.

Attention u-net: Learning where to look for the pancreas

Original

Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018

Earlier work this paper cites.

Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic)

Original

Noel Codella, Veronica Rotemberg, Philipp Tschandl, M Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, et al · 2019

Earlier work this paper cites.

Recurrent residual u-net for medical image segmentation

Md Zahangir Alom, Chris Yakopcic, Mahmudul Hasan, Tarek M Taha, and Vijayan K Asari · 2019

Cited alongside, same era.

Eeg-based pathology detection for home health monitoring

Ghulam Muhammad, M Shamim Hossain, and Neeraj Kumar · 2020

Cited alongside, same era.

An image is worth 16x16 words: Transformers for image recognition at scale

Original

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020

Cited alongside, same era.

Transunet: Transformers make strong encoders for medical image segmentation

Original

Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou · 2021

Cited alongside, same era.

Transfuse: Fusing transformers and cnns for medical image segmentation

Yundong Zhang, Huiye Liu, and Qiang Hu · 2021

It’s raw! audio generation with state-space models

Karan Goel, Albert Gu, Chris Donahue, and Christopher Ré · 2022

Later among the works it cites.

Hungry hungry hippos: Towards language modeling with state space models

Original

Daniel Y Fu, Tri Dao, Khaled K Saab, Armin W Thomas, Atri Rudra, and Christopher Ré · 2022

Later among the works it cites.

A multi-scale transformer for medical image segmentation: Architectures, model efficiency, and benchmarks

Original

Yunhe Gao, Mu Zhou, Di Liu, and Dimitris Metaxas · 2022

Later among the works it cites.

Malunet: A multi-attention and light-weight unet for skin lesion segmentation

Jiacheng Ruan, Suncheng Xiang, Mingye Xie, Ting Liu, and Yuzhuo Fu · 2022

Later among the works it cites.

Chatcad: Interactive computer-aided diagnosis on medical image using large language models

Original

Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen · 2023