DNA aneuploidy is a cancer biomarker, which may have a potential diagnostic value in body effusion specimen. DNA aneuploidy is determined by measuring the DNA content of tested cells and comparing them with diploid cells (2c). In order to assess the value of automated DNA image cytometry (DNA-ICM) in the cytologic diagnosis of effusion, we measured DNA ploidy using an automated DNA-ICM analysis...

The correlations between semi-automated sputum cytometry (ASC), conventional cytology and the final diagnosis was investigated in industrially-exposed workers. Slides of sputum samples from 201 former uranium miners with silicosis, 100 patients with asbestosis, 103 workers resected for lung cancer, and 200 controls (50% smokers), were stained using the Papanicolaou (Pap) method and the Feulgen ...

computer aided pulmonary nodule detection has been among major research topics lately to help for early treatment of lung cancer which is the most lethal kind of cancer worldwide.some evidence suggests that periodic screening tests with the ct of patients will help in reducing the mortality rate caused by the lung cancer. acomplete and accurate computer aided diagnosis (cad) system for detectio...

Automated diagnosis of skin cancer is an important area of research that had different automated learning methods proposed so far. However, models based on insufficient labeled training data can badly influence the diagnosis results if there is no advising and semi supervising capability in the model to add unlabeled data in the training set to get sufficient information. This paper proposes a ...

We propose that a system for medical diagnosis, in order to be reliable and useful, beyond systematic evaluation must follow also some basic guidelines: (a) it must be designed as open and self-explanatory giving the opportunity to the physician to understand the method and the rules comprised in the system, (b) it must be properly designed to provide maximum effectiveness in physician’s diagno...

results: the only significant difference was the older age of the malignant group vs. benign group (p = 0.001) regarding demographic findings. as concerns the clinical symptoms, presence of abdominal discomfort in pre-diagnosis period was the only significant parameter in malignant group (p = 0.001). additionally, data analysis of patients as a total group showed that specificity (96.4%), posit...

aim : the aim of this study was to assay the most common signs, symptoms, and positive paraclinical findings in pancreatic cancer. background : it seems that the most available method for early diagnosis of pancreatic cancer is using clinical history and especially appearance of early signs and symptoms. patients and methods : in this descriptive study, all pancreatic cancer patients referred t...

Cancer is the most dreadful disease and breast cancer is the most commonly diagnosed disease. Automated disease diagnosis has gained substantial research interest these years. In this paper, a breast cancer detection algorithm that relies on different geometrical features of the image, k-means and Extreme Learning Algorithm (ELM) is proposed. The experimental results of the proposed algorithm a...

We introduce a probabilistic classifier that combines multiple instance learning and relational learning. While multiple instance learning allows automated cancer diagnosis from only image-level annotations, relational learning allows exploiting changes in cell formations due to cancer. Our method extends Gaussian process multiple instance learning with a relational likelihood that brings impro...

Dear Editor, Dengue is an important arbovirus infection. This infection can result in an acute febrile illness. The important hematological abnormalities included hemoconcentration and thrombocytopenia (1). Due to the decreased platelet count, the patient might develop petechiae and hemorrhagic complication. In endemic area, the presumptive diagnosis of dengue is usually derived by the cl...