Results 41 to 50 of about 17,459,905 (291)

A review of the evolution and challenges of few-shot medical image semantic segmentation [PDF]

PeerJ Computer Science
Image segmentation, as a fundamental task in computer vision, aims to achieve pixel-level delineation between target regions and background. In the field of medical image analysis, traditional segmentation methods heavily rely on large-scale, high ...
Hong Zhao, Qingfeng Chen, Yao Meng, Wanjun Hu, Chenglin Yu, Zhenshan Gao, Zhaobin Chang   +6 more
doaj   +2 more sources

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

, 2020
Although having achieved great success in medical image segmentation, deep learning-based approaches usually require large amounts of well-annotated data, which can be extremely expensive in the field of medical image analysis.
Yu, Zhiding, Liu, Fengze, Yu, Lequan, Yuille, Alan, Cai, Jinzheng, Xu, Daguang, Zhu, Zhuotun, Xia, Yingda, Yang, Dong, Roth, Holger   +9 more
core   +1 more source

Web-based AI system for medical image segmentation [PDF]

, 2023
Image segmentation is a crucial step in the diagnosis of brain tumours, and machine learning has emerged as a promising tool for tumour characterisation from medical imaging data.
Li, Yiqi, Tao, Sihan, Fetit, Ahmed, Liu, Taowen, Lee, Jacqueline, Hu, Songyun, Yu, Leyang, Chen, Hao   +7 more
core   +1 more source

Pyramid Medical Transformer for Medical Image Segmentation

CoRR, 2021
Deep neural networks have been a prevailing technique in the field of medical image processing. However, the most popular convolutional neural networks (CNNs) based methods for medical image segmentation are imperfect because they model long-range dependencies by stacking layers or enlarging filters.
Zhuangzhuang Zhang, Baozhou Sun, Weixiong Zhang   +2 more
openaire   +3 more sources

A review: Deep learning for medical image segmentation using multi-modality fusion

Array, 2019
Multi-modality is widely used in medical imaging, because it can provide multiinformation about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing multi-information to improve the segmentation.
Tongxue Zhou, Su Ruan, Stéphane Canu
doaj   +1 more source

Rethinking Breast Cancer Diagnosis through Deep Learning Based Image Recognition

Sensors, 2023
This paper explored techniques for diagnosing breast cancer using deep learning based medical image recognition. X-ray (Mammography) images, ultrasound images, and histopathology images are used to improve the accuracy of the process by diagnosing breast
Deawon Kwak, Jiwoo Choi, Sungjin Lee
doaj   +1 more source

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques, Mariana dos Santos Murra, Welinton Hirai, Ana Laura Balduino do Nascimento, Karla Emilia de Sá Rodrigues, Wilson Elias de Oliveira Junior   +5 more
wiley   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

A review of medical ocular image segmentation

Virtual Reality & Intelligent Hardware
Deep learning has been extensively applied to medical image segmentation, resulting in significant advancements in the field of deep neural networks for medical image segmentation since the notable success of U-Net in 2015.
Lai WEI, Menghan HU
doaj   +1 more source