Results 101 to 110 of about 914,658 (364)

Medical Image Segmentation Using Combined Level Set and Saliency Analysis

IEEE Access
In the realm of computer vision, image segmentation has become a crucial task with widespread applications, particularly in medical imaging. Although there have been significant advancements in image segmentation methods, challenges persist in accurately
Aditi Joshi, Mohammed Saquib Khan, Kwang Nam Choi   +2 more
doaj   +1 more source

Leveraging image complexity in macro-level neural network design for medical image segmentation [PDF]

, 2022
Tariq M. Khan, Syed S. Naqvi, Erik Meijering   +2 more
openalex   +1 more source

Segmenting medical images with limited data

Neural Networks
While computer vision has proven valuable for medical image segmentation, its application faces challenges such as limited dataset sizes and the complexity of effectively leveraging unlabeled images. To address these challenges, we present a novel semi-supervised, consistency-based approach termed the data-efficient medical segmenter (DEMS).
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, Lei Shen   +3 more
openaire   +3 more sources

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

BMC Medical Imaging, 2015
BackgroundMedical Image segmentation is an important image processing step. Comparing images to evaluate the quality of segmentation is an essential part of measuring progress in this research area.
A. Taha, A. Hanbury
semanticscholar   +1 more source

Effect of chemotherapy on passenger mutations in metastatic colorectal cancer

Molecular Oncology, EarlyView.
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui, Matthew A. Cottam, Muhammad Bilal Mirza, Keeli B. Lewis, Kristen K. Ciombor, Mary Kay Washington, Kamran Idrees   +6 more
wiley   +1 more source

Segmentation of Medical X-ray Bone Image Using Different Image Processing Techniques [PDF]

, 2021
Folasade Olubusola Isinkaye, Abiodun Gabriel Aluko, Olayinka Ayodele Jongbo   +2 more
openalex   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

ATF4‐mediated stress response as a therapeutic vulnerability in chordoma

Molecular Oncology, EarlyView.
We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone, James Dunford, Eleanor Calcutt, Vicki Gamble, Filiz Senbabaoglu Aksu, Lorena Ligammari, Georgina Wherry, Giorgia Gaeta, John C. Christianson, Adrienne M. Flanagan, Udo Oppermann, Adam P. Cribbs   +11 more
wiley   +1 more source

DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation

Frontiers in Bioengineering and Biotechnology
Accurate medical image segmentation is critical for disease quantification and treatment evaluation. While traditional U-Net architectures and their transformer-integrated variants excel in automated segmentation tasks. Existing models also struggle with
Guanqun Sun, Guanqun Sun, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin, Junyi Xin, Junyi Xin   +10 more
doaj   +1 more source

SKIN SEGMENTATION AND SKULL SEGMENTATION FOR MEDICAL IMAGING

Jurnal Informatika, 2015
In this paper aims we present tools for medical imaging applications to do skin and skull segmentation in a short time. The desired output for skin segmentation is a 3D visualization of the facial skin without any cavities or holes inside the head, while skull segmentation aims to create a 3D visualization of the skull bones.
Eric Yogi Tjandra, , Liliana, Leow Wee Kheng   +2 more
openaire   +3 more sources