The automated classification of breast cancer histopathological images is one the important tasks in computer-aided diagnosis systems (CADs). Due to characteristics small inter-class and large intra-class variances images, extracting features for difficult. To address this problem, an improved autoencoder (AE) network using a Siamese framework that can learn effective from CAD was designed. Fir...

user-generated medical messages on internet contain extensive information related to adverse drug reactions (adrs) and are known as valuable resources for post-marketing drug surveillance. the aim of this study was to find an effective method to identify messages related to adrs automatically from online user reviews.we conducted experiments on online user reviews using different feature set an...

Introduction: colobomatous cyst is one of the rare orbital cystic lesions that have wide range of differential diagnosis. It is a congenital lesion that can be easily misdiagnosed as malignant tumor, leading to exposing the patient to unnecessarily overtreatment. case report: this is a rare case of congenital colobomatous cyst in an infant girl. the cyst was associated with a microphthalmic glo...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

Histopathological tissue analysis by microscopy is a process that is subjective, prone to interand intra-observer variation. This, along with the problems associated with verbalising visual elements of the diagnostic process, make learning the skill quite difficult. Training is long and largely relies on an “apprentice” model, where trainees learn the skill by witnessing an expert at work. Here...

objective(s): this study addresses feature selection for breast cancer diagnosis. the present process uses a wrapper approach using ga-based on feature selection and ps-classifier. the results of experiment show that the proposed model is comparable to the other models on wisconsin breast cancer datasets. materials and methods: to evaluate effectiveness of proposed feature selection method, we ...

Leishmania (Leishmania) amazonensis has for some time been considered as the causative agent of two distinct forms of American cutaneous leishmaniasis (ACL): localized cutaneous leishmaniasis (LCL), and anergic diffuse cutaneous leishmaniasis (ADCL). Recently, a new intermediate form of disease, borderline disseminated cutaneous leishmaniasis (BDCL), was introduced into the clinical spectrum of...