Liver cancer is a severe disease that poses a significant threat to global human health. To enhance the accuracy of liver lesion diagnosis, multi-phase contrast-enhanced magnetic resonance imaging (MRI) has emerged as a promising tool. In this context, we aim to initiate the inaugural Liver Le...
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data centers are enrolled to develop Liver Lesion Network (LiLNet)...
Focal liver lesion diagnosis with deep learning and multistage CT imaging The distinction of liver lesions is critical for the accurate diagnosis and treatment of liver cancer. Here, the authors develop LiLNet, a deep learning-based system to identify focal liver lesions as well as benign and mal...
Rajeesh, “Automatic Liver and Lesion Segmentation: A Primary Step in Diagnosis of Liver Diseases,” Signal, Image and Video Processing, Vol. 7, No. 1, 2011, pp. 163-172. http://dx.doi.org/10.1007/s11760-011-0223-yS. S. Kumar, R. S. Moni and J. Rajeesh, "Automatic Liver and ...
14. Spectral information can also be combined with artificial intelligence algorithms to establish a diagnostic classification model to allow automatic diagnosis15,16,17,18. Furthermore, Raman spectroscopy imaging allows for the delineation of tumour margins and visualization of lesion regions of interest...
5.4. Potential in Small Tumor Detection Early detection of small tumors is essential for prompt cancer diagnosis, but such cases are scarce in real datasets because most patients remain asymptomatic during the early stages. AI models trained on these datasets ex- hibit reduced detection sensitivity ...
The authors performed 69 puncture biopsies (in 12 cases--under guidance of laparoscopy, in 57--ultrasound investigation) in 63 patients with indeterminate diagnosis of focal hepatic lesion. A positive result was noted in 59 (96.9%) patients. Of them, 43 had a malignant tumour been diagnosed, ...
Deep learning for liver tumor diagnosis part II: Convolutional neural network interpretation using radiologic imaging features. Eur. Radiol. 2019, 29, 3348–3357. [Google Scholar] [CrossRef] Uma Maheswari, V.; Aluvalu, R.; Chennam, K.K. Application of machine learning algorithms for facial ...
However, to achieve this, a separate database needs to be created, one that contains lesion classifications based on expert opinions or biopsies, and which also contains examinations corresponding to the three contrast phases for all patients. A system that could provide a specific diagnosis based ...
So I had a scan at the start of December, found a lesion on my liver which is questionable.Had ct scan which still couldn’t determine what it is . Been waiting... So I had a scan at the start of December, found a lesion on my liver which is qu... She-66•2 years ago Be...