conquer 发表于 2025-3-28 15:54:11
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/159499.jpgremission 发表于 2025-3-28 20:51:56
https://doi.org/10.1007/978-0-387-09437-3matoxylin-eosin (H &E) and immunohistochemistry (IHC) as relying solely on H &E can sometimes result in inaccurate cancer diagnoses. IHC examination offers additional evidence to support the diagnostic process. Given challenging accessibility issues of IHC examination, generating virtual IHC imagesOcclusion 发表于 2025-3-28 23:07:22
http://reply.papertrans.cn/16/1595/159499/159499_43.pngNonconformist 发表于 2025-3-29 06:25:11
Julien Matricon,Andrea Giuffrida PhD which pose requirements on the performance, robustness and complexity of computer-based analysis techniques. This paper poses the question whether Transformer-based architectures, which are capable to directly capture global contextual information, can handle the aforementioned endoscopic conditionFretful 发表于 2025-3-29 11:03:25
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http://reply.papertrans.cn/16/1595/159499/159499_47.png相同 发表于 2025-3-29 22:20:49
http://reply.papertrans.cn/16/1595/159499/159499_48.png六个才偏离 发表于 2025-3-30 02:05:35
https://doi.org/10.1007/978-3-319-57371-7nificant role in clinical assessments to discriminate these neurological disorders from healthy controls, to grade disease severity, and to further differentiate dementia subtypes. In this paper, we propose a deep-learning based model specifically designed to evaluate gait impairment score for assesProcesses 发表于 2025-3-30 05:03:46
https://doi.org/10.1007/978-3-319-57371-7 As such, there has been immense research and progress on improving screening and clinical support for breast cancer. In this paper, we investigate enhancing clinical support for breast cancer with deep learning models using a newly introduced magnetic resonance imaging (MRI) modality called synthet