Results 121 to 130 of about 914,658 (364)

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

Brain tumor segmentation based on a hybrid clustering technique

Egyptian Informatics Journal, 2015
Image segmentation refers to the process of partitioning an image into mutually exclusive regions. It can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest
Eman Abdel-Maksoud, Mohammed Elmogy, Rashid Al-Awadi   +2 more
doaj   +1 more source

Data augmentation based on multiple oversampling fusion for medical image segmentation

, 2022
Liangsheng Wu, Jiajun Zhuang, Weizhao Chen, Yu Tang, Chaojun Hou, Chentong Li, Zhenyu Zhong, Shaoming Luo   +7 more
openalex   +2 more sources

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation [PDF]

, 2023
Haonan Wang, Xiaomeng Li
openalex   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

A comparative study on medical image segmentation methods [PDF]

Applied Medical Informatics, 2014
Image segmentation plays an important role in medical images. It has been a relevant research area in computer vision and image analysis. Many segmentation algorithms have been proposed for medical images.
Praylin Selva Blessy SELVARAJ ASSLEY, Helen Sulochana CHELLAKKON   +1 more
doaj  

Robustifying Deep Networks for Medical Image Segmentation

, 2021
Zheng Liu, Jinnian Zhang, Varun Jog, Po‐Ling Loh, Alan B. McMillan   +4 more
openalex   +2 more sources

Segment anything model for medical images?

Medical Image Analysis
Accepted by Medical Image Analysis.
Huang, Yuhao, Yang, Xin, Liu, Lian, Zhou, Han, Chang, Ao, Zhou, Xinrui, Chen, Rusi, Yu, Junxuan, Chen, Jiongquan, Chen, Chaoyu, Liu, Sijing, Chi, Haozhe, Hu, Xindi, Yue, Kejuan, Li, Lei, Grau, Vicente, Fan, Deng-Ping, Dong, Fajin, Ni, Dong   +18 more
openaire   +3 more sources

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks [PDF]

, 2023
Heng Cai, Lei Qi, Yu Qian, Yinghuan Shi, Yang Gao   +4 more
openalex   +1 more source