Cancer is a dreadful disease and a primary cause of death. Early cancer detection and
screening are critical for enhancing survival rates. Conventional cancer diagnostic …

Automatisation and standardisation of the diagnosis process in medical infrared thermal
imaging (MITI) is crucial because the number of medical experts in this area is highly limited …

Breast cancer remains one of the most prevalent and deadly cancers affecting women
worldwide. Early detection is crucial, particularly for younger women, as traditional …

Breast cancer has been and continues to be a cause of major health concern for women. It is
more prevalent in old age, but its incidence has increased in recent years in groups below …

Paddy disease detection is decisive in the field of automatic pathogens diagnosis machine.
Currently, Deep Con-volutional neural network typically examined the state-of-the art results …

This study uses medical infrared imaging to analyze quantitative and qualitative data in an
effort to identify breast cancer. One of the biggest benefits of the suggested health procedure …

Sažetak Aiming at the obscure features of tumors in rectal CT images and their complexity,
this paper proposes a multi-feature fusion-based convolutional neural network rectal tumor …

Recently, the process of fish species classification has become one of the most challenging
problems addressed by researchers. In this work, a robust scheme to classify fish images …

The literature survey 2018 is based on 719 papers found in Scopus and 65 additional notes
or abstracts detected in the journal" Thermology international" with the keywords" …

The aim of this dissertation is to develop computer aided methods for processing and
evaluating medical infrared thermal images. Throughout this study three problems were …