Results 91 to 100 of about 3,074 (142)

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training [PDF]

open access: yesarXiv
Thyroid nodule classification and segmentation in ultrasound images are crucial for computer-aided diagnosis; however, they face limitations owing to insufficient labeled data. In this study, we proposed a multi-view contrastive self-supervised method to improve thyroid nodule classification and segmentation performance with limited manual labels.
arxiv  

Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model [PDF]

open access: yesarXiv
Objective: Molecular testing (MT) classifies cytologically indeterminate thyroid nodules as benign or malignant with high sensitivity but low positive predictive value (PPV), only using molecular profiles, ignoring ultrasound (US) imaging and biopsy.
arxiv  

Are patients with autoimmune thyroid disease and autoimmune gastritis at risk of gastric neuroendocrine neoplasms type 1? [PDF]

open access: bronze, 2013
Krystallenia Alexandraki   +6 more
openalex   +1 more source

An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer [PDF]

open access: yesarXiv
Thyroid carcinoma, a significant yet often controllable cancer, has seen a rise in cases, largely due to advancements in diagnostic methods. Differentiated thyroid cancer (DTC), which includes papillary and follicular varieties, is typically associated with a positive prognosis in academic circles. Nevertheless, there are still some individuals who may
arxiv  

Young investigator challenge: The morphologic analysis of noninvasive follicular thyroid neoplasm with papillary‐like nuclear features on liquid‐based cytology: Some insights into their identification [PDF]

open access: bronze, 2016
Tommaso Bizzarro   +7 more
openalex   +1 more source

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