[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …
are providing promising results, leading towards a revolution in the radiologists' workflow …
Deep learning for processing electromyographic signals: A taxonomy-based survey
Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
[HTML][HTML] A two-stage renal disease classification based on transfer learning with hyperparameters optimization
Renal diseases are common health problems that affect millions of people around the world.
Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global …
Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global …
Kidney segmentation in renal magnetic resonance imaging-current status and prospects
Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …
[HTML][HTML] Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
Early diagnosis of transplanted kidney function requires precise Kidney segmentation from
Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In …
Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In …
Predictive Machine Learning Approaches for Chronic Kidney Disease
It might be challenging to diagnose chronic kidney disease (CKD) in its early stages due to
the lack of symptoms. The creation and validation of a predictive model for the prognosis of …
the lack of symptoms. The creation and validation of a predictive model for the prognosis of …
[HTML][HTML] Deep learning assisted localization of polycystic kidney on contrast-enhanced CT images
Total Kidney Volume (TKV) is essential for analyzing the progressive loss of renal function in
Autosomal Dominant Polycystic Kidney Disease (ADPKD). Conventionally, to measure TKV …
Autosomal Dominant Polycystic Kidney Disease (ADPKD). Conventionally, to measure TKV …
The predictive value of renal parenchymal information for renal function impairment in patients with ADPKD: a multicenter prospective study
Y Xie, M Xu, Y Chen, X Zhu, S Ju, Y Li - Abdominal Radiology, 2022 - Springer
Objective Although the guideline indicates that total kidney volume (TKV) is an important
detection indicator in patients with autosomal dominant polycystic kidney disease (ADPKD) …
detection indicator in patients with autosomal dominant polycystic kidney disease (ADPKD) …