The diagnostic evaluation of premalignant and malignant lesions of the prostate may benefit from the application of an inference network. Used as a diagnostic decision support system, an inference network provides standardized assessment of diagnostic clues which is supported by computer graphics and comparison imagery, uncertainty management by possibility and probabilistic schemes and the systematic combination of different pieces of diagnostic evidence. This assessment results in a numeric measure of belief in the final diagnosis
The implementation of knowledge-guided control of the processing and segmentation of histopathologic...
Prostatic carcinoma is the fifth most common cancer in the world and the second most common in men. ...
Prostate cancer (PCa) is one of the main diseases that endanger men’s health worldwide. In developin...
The diagnosis and grading of prostatic intraepithelial neoplasia (PIN) are affected by uncertainties...
A diagnostic decision support system (DDSS) is defi ned as a methodology that provides guidance in s...
Bayesian belief networks (BBNs) are a novel tool for representing knowledge about diagnostic decisio...
Prostatic intraepithelial neoplasia (PIN) diagnosis and grading are affected by uncertainties which ...
The diagnosis and grading of urothelial papillary lesions are affected by uncertainties which arise ...
Most developing countries face huge challenges in the medical field; scarce medical resources and in...
Object. Pathologic prediction of prostate cancer can be made by predicting the patient’s prostate me...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
The International Prostate Symptom Score (IPSS) is used exclusively for evaluating patients with a p...
Nowadays, medical diagnosis reasoning is a very important application area of computer-based system....
Aim: improvement of early diagnostics of prostate cancer by developing a technique, which makes poss...
Prostat cancer is a disease which is the most common and which is also the second deadly in men. Whe...
The implementation of knowledge-guided control of the processing and segmentation of histopathologic...
Prostatic carcinoma is the fifth most common cancer in the world and the second most common in men. ...
Prostate cancer (PCa) is one of the main diseases that endanger men’s health worldwide. In developin...
The diagnosis and grading of prostatic intraepithelial neoplasia (PIN) are affected by uncertainties...
A diagnostic decision support system (DDSS) is defi ned as a methodology that provides guidance in s...
Bayesian belief networks (BBNs) are a novel tool for representing knowledge about diagnostic decisio...
Prostatic intraepithelial neoplasia (PIN) diagnosis and grading are affected by uncertainties which ...
The diagnosis and grading of urothelial papillary lesions are affected by uncertainties which arise ...
Most developing countries face huge challenges in the medical field; scarce medical resources and in...
Object. Pathologic prediction of prostate cancer can be made by predicting the patient’s prostate me...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
The International Prostate Symptom Score (IPSS) is used exclusively for evaluating patients with a p...
Nowadays, medical diagnosis reasoning is a very important application area of computer-based system....
Aim: improvement of early diagnostics of prostate cancer by developing a technique, which makes poss...
Prostat cancer is a disease which is the most common and which is also the second deadly in men. Whe...
The implementation of knowledge-guided control of the processing and segmentation of histopathologic...
Prostatic carcinoma is the fifth most common cancer in the world and the second most common in men. ...
Prostate cancer (PCa) is one of the main diseases that endanger men’s health worldwide. In developin...