Results 61 to 70 of about 16,791,752 (293)

Medical Image Segmentation for Mobile Electronic Patient Charts Using Numerical Modeling of IoT

Journal of Applied Mathematics, 2014
Internet of Things (IoT) brings telemedicine a new chance. This enables the specialist to consult the patient’s condition despite the fact that they are in different places.
Seung-Hoon Chae, Daesung Moon, Deok Gyu Lee, Sung Bum Pan   +3 more
doaj   +1 more source

Improved Multistage Edge-Enhanced Medical Image Segmentation Network of U-Net [PDF]

Jisuanji gongcheng
Medical image segmentation accuracy plays a key role in clinical diagnosis and treatment. However, because of the complexity of medical images and diversity of target regions, existing medical image segmentation methods are limited to incomplete edge ...
HU Shuai, LI Hualing, HAO Dechen
doaj   +1 more source

Self-Paced Learning With Diversity for Medical Image Segmentation by Using the Query-by-Committee and Dynamic Clustering Techniques

IEEE Access, 2021
Convolutional neural networks (CNNs), as a typical deep learning technique, have been widely used in image segmentation, but they often require a large amount of annotated data.
Xiaoying Pan, De Wei, Yizhe Zhao, Minjie Ma, Hao Wang   +4 more
doaj   +1 more source

CapsNet for medical image segmentation

Deep Learning for Medical Image Analysis, Elsevier/Academic Press (accepted)
Minh Q. Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le   +5 more
openaire   +3 more sources

Stopping region-based image segmentation at meaningful partitions [PDF]

, 2007
This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the recently proposed approaches to syntactic segmentation can produce ...
O'Connor, Noel E., Adamek, Tomasz, O\u27Connor, Noel E., Noel E. O’Connor, Tomasz Adamek   +4 more
core   +2 more sources

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Deep learning for medical image segmentation: State-of-the-art advancements and challenges

Informatics in Medicine Unlocked
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in
Md. Eshmam Rayed, S.M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha   +5 more
doaj   +1 more source

A Hybrid Technique for Medical Image Segmentation [PDF]

Journal of Biomedicine and Biotechnology, 2012
Medical image segmentation is an essential and challenging aspect in computer-aided diagnosis and also in pattern recognition research. This paper proposes a hybrid method for magnetic resonance (MR) image segmentation. We first remove impulsive noise inherent in MR images by utilizing a vector median filter.
Nyma, Alamgir, Kang, Myeongsu, Kwon, Yung-Keun, Kim, Cheol-Hong, Kim, Jong-Myon   +4 more
openaire   +2 more sources

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source

PENERAPAN CITRA TERKOMPRESI PADA SEGMENTASI CITRA MENGGUNAKAN ALGORITMA K-MEANS

JUTEI (Jurnal Terapan Teknologi Informasi), 2018
In the development of an image not only as a documentation of events. One area that requires image processing is in the field of medicine is radiology. In radiology there is a medical image required by doctors and researchers to be processed for patient ...
Angga Wijaya Kusuma, Rossy Lydia Ellyana
doaj   +1 more source