transplantation
发表于 2025-3-26 23:34:13
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mendacity
发表于 2025-3-27 04:55:36
FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learnings. Accurate preoperative differentiation is essential for appropriate treatment planning and prognosis, however, it’s challenging to differentiate these tumors using MRI due to their similar anatomical structures and imaging characteristics. In this paper, we first construct a new multi-center brain
美色花钱
发表于 2025-3-27 07:54:34
Classification of Endoscopy and Video Capsule Images Using CNN-Transformer Modelosis system for early detection and enhanced treatment. Traditional approaches rely on the expertise of gastroenterologists to identify diseases. However, it is a subjective process, and the interpretation can vary even between expert clinicians. Considering recent progress in classifying gastrointe
APEX
发表于 2025-3-27 10:58:18
Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastaseever, a predictive biomarker for ICI efficacy is needed to inform precision-based use of ICI given its high toxicity rate. Here, we present several multimodal deep learning (DL) approaches that integrate pre-treatment magnetic resonance imaging (MRI) and clinical metadata to predict ICI efficacy for
indigenous
发表于 2025-3-27 17:33:20
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冥界三河
发表于 2025-3-27 19:35:15
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancmance in BC classification compared to human expert readers. However, the predominant use of unimodal (digital mammography) features may limit the current performance of diagnostic models. To address this, we collected a novel multimodal dataset comprising both imaging and textual data. This study p
婴儿
发表于 2025-3-27 22:20:53
On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systemsetic resonance images (MRI) of the prostate. Most MRI-based systems are designed to detect clinically significant PC lesions, with the main objective of preventing over-diagnosis. Typically, these systems involve an automatic prostate segmentation component and a clinically significant PC lesion det
放逐某人
发表于 2025-3-28 02:32:02
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种属关系
发表于 2025-3-28 06:52:16
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learningns with intravenous contrast in multiple phases, taken at different intervals post-injection. Organ movement during these intervals, caused by factors like breathing, heartbeat, or patient motion, can affect the accuracy of HCC detection. Aligning two or more scans precisely, especially ensuring the
送秋波
发表于 2025-3-28 10:28:18
Refining Deep Learning Segmentation Maps with a Local Thresholding Approach: Application to Liver SuCT imaging can be challenging and is often subject to disagreements between radiologists. The nodularity of the liver surface is a well-known feature of fibrosis, which can be quantified in clinical practice with specialized software applications that rely on semi-automatic delineation of the liver