Results 91 to 100 of about 13,515,348 (328)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2019 Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation ...
Zaiwang Gu +8 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers +5 more
wiley +1 more source
Leveraging Disease Progression Learning for Medical Image Recognition
, 2018 Unlike natural images, medical images often have intrinsic characteristics that can be leveraged for neural network learning. For example, images that belong to different stages of a disease may continuously follow a certain progression pattern.
Fevens, Thomas, Lao, Qicheng, Wang, Boyu
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell +3 more
wiley +1 more source
Intelligent MedicineBackground With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of ...
Ao Chen +11 more
doaj +1 more source
Automatically Designing CNN Architectures for Medical Image Segmentation
, 2018 Deep neural network architectures have traditionally been designed and explored with human expertise in a long-lasting trial-and-error process. This process requires huge amount of time, expertise, and resources.
A Mortazi, KO Stanley, O Ronneberger
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Scientific ReportsMedical Object Detection (MOD) is a clinically relevant image processing method that locates structures of interest in radiological image data at object-level using bounding boxes.
Gabriel Rashidi +5 more
doaj +1 more source
Research Pattern Classification using imaging techniques for Infarct and Hemorrhage Identification in the Human Brain [PDF]
, 2006 Medical Image analysis and processing has great significance in the field of medicine, especially in Non- invasive treatment and clinical study. Medical imaging techniques and analysis tools enable the Doctors and Radiologists to arrive at a specific ...
S, SubhaRan, T, Kesavamurthy
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source