Results 21 to 30 of about 13,981 (216)

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu, Shuchang Zhou, Qin Peng, Xiao Bao, Xiaodan Ye, Ahmet Görkem Er, Tong Tong, Mirabela Rusu, Yajia Gu, Mailin Chen, Jing Gong   +10 more
wiley   +1 more source

FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba [PDF]

Visual Intelligence
Multimodal image fusion aims to integrate information from different imaging techniques to produce a comprehensive, detail-rich single image for downstream vision tasks.
Xinyu Xie, Yawen Cui, Tao Tan, Xubin Zheng, Zitong Yu   +4 more
semanticscholar   +1 more source

Assessing Haitian Consumers' Willingness to Pay a Premium for Aflatoxin‐Compliant Peanut Butter in the Informal Market

Agribusiness, EarlyView.
ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques, Stevens Azima, Maurice Doyon   +2 more
wiley   +1 more source

Mamba-Reg: Vision Mamba Also Needs Registers

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Similar to Vision Transformers, this paper identifies artifacts also present within the feature maps of Vision Mamba. These artifacts, corresponding to high-norm tokens emerging in low-information background areas of images, appear much more severe in Vision Mamba -- they exist prevalently even with the tiny-sized model and activate extensively across ...
Feng Wang 0047, Jiahao Wang 0001, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao 0008, Yuyin Zhou, Alan L. Yuille, Cihang Xie   +8 more
openaire   +4 more sources

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source

S$^{3}$Mamba: Pan-Sharpening via Spatial–Spectral Synergistic State Space Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pan-sharpening aims to fuse a high-spatial-resolution panchromatic image with a low-spatial-resolution multispectral (MS) image to generate a high-quality, high-spatial-resolution MS image. Despite the development of existing pan-sharpening methods, they
Yuyan Yan, Yu Wang, Wei Tu, Jiaming Wang, Bowen Cai, Qingwei Zhuang, Xiaolong Zuo, Yunong Chen, Haobin Zhang, Zhenfeng Shao   +9 more
doaj   +1 more source

The damage and failure mechanism of prestatically loaded rock during medium‐strain rate cyclic impact loading

Deep Underground Science and Engineering, EarlyView.
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang, Hanpeng Wang, Zicheng Wang, Xinyuan Xie, Yunhao Wu, Jinhou Zhang, Dekang Sun   +6 more
wiley   +1 more source

DSS-Mamba: Deformable Spatial–Spectral State-Space Model for Hyperspectral Land Cover Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
State-space models, particularly Mamba, have garnered significant attention from researchers owing to their efficient balance between computational efficiency and model performance, and they also provide a performance breakthrough for accurate land cover
Dehua Huo, Weida Zhan, Yueyi Han, Jinxin Guo, Depeng Zhu, Yu Chen, YiChun Jiang, Deng Han   +7 more
doaj   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation [PDF]

Patterns
Summary Traditionally, to improve the segmentation performance of models, most approaches prefer to use more complex modules. This is not suitable for the medical field, especially for mobile medical devices, where computationally loaded models are not ...
Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang   +3 more
semanticscholar   +1 more source