Fully automatic liver and tumor segmentation from CT image using an AIM-Unet

F Özcan, ON Uçan, S Karaçam, D Tunçman - Bioengineering, 2023 - mdpi.com
The segmentation of the liver is a difficult process due to the changes in shape, border, and
density that occur in each section in computed tomography (CT) images. In this study, the …

[HTML][HTML] When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects

Y Tian, M Liu, Y Sun, S Fu - iLIVER, 2023 - Elsevier
The liver is the second-largest organ in the human body and is essential for digesting food
and removing toxic substances. Viruses, obesity, alcohol use, and other factors can damage …

[HTML][HTML] Therapeutic effect of ketogenic diet treatment on type 2 diabetes

F Li, Y Shen, Q Chen, X Li, H Yang, C Zhang, J Lin… - Journal of Future …, 2022 - Elsevier
Diet plays an important role in diabetes development. The effect of ketogenic diet on type 2
diabetes remains elusive. In this study, we collect diabetes related physiological parameters …

YOLOv8-based frameworks for liver and tumor segmentation task on LiTS

S Randar, V Shah, H Kulkarni, Y Suryawanshi… - SN Computer …, 2024 - Springer
Accurate liver tumor diagnosis in clinical practice relies on precisely delineating the liver and
identifying potential tumors in Computed Tomography scans. This study aims to develop a …

Densely connected u-net with criss-cross attention for automatic liver tumor segmentation in CT images

Q Li, H Song, Z Wei, F Yang, J Fan, D Ai… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
Automatic liver tumor segmentation plays a key role in radiation therapy of hepatocellular
carcinoma. In this paper, we propose a novel densely connected U-Net model with criss …

Automatic Medical Image Segmentation with Vision Transformer

J Zhang, F Li, X Zhang, H Wang, X Hei - Applied Sciences, 2024 - mdpi.com
Featured Application This work investigates the application of transformers for general
medical image segmentation tasks. The key future directions involve developing unified AI …

SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation

L Liu, K Wu, K Wang, Z Han, J Qiu, Q Zhan, T Wu… - PeerJ Computer …, 2024 - peerj.com
Liver occupying lesions can profoundly impact an individual's health and well-being. To
assist physicians in the diagnosis and treatment of abnormal areas in the liver, we propose a …

Lgma-net: liver and tumor segmentation methods based on local–global feature mergence and attention mechanisms

W Ren, B Li, H Peng, J Wang - Signal, Image and Video Processing, 2025 - Springer
Liver cancer, as one of the leading causes of cancer-related deaths around the world, has
triggered an urgent need for automatic segmentation of the liver and tumors. Nonetheless …

[PDF][PDF] Journal of Future Foods

WAM Eida, DESH Azabb, SH Negmc - Journal of Future Foods, 2025 - researchgate.net
A b S tr AC t Moringa oleifera leaves are a promising source of protein and nutrients, they
are superior to other plants in protein content and nutritional value. the present study was …

Derin öğrenme ile üç boyutlu (3B) karaciğer tümör tespiti

F Özcan - 2023 - openaccess.altinbas.edu.tr
Bilgisayarlı tomografi (BT) görüntülerinde her kesitte meydana gelen şekil, sınır ve yoğunluk
değişiklikleri nedeniyle karaciğerin segmentasyonu zor bir işlemdir. Bu çalışmada, karın BT …