The cell-graph approach captures the information encoded in tissue samples by capturing the spatial distribution of cells and their cluster formations. In a cellgraph, nodes and edges represent the cell clusters and pairwise relationships between them, respectively. It is shown in [1] that the features of cell-graphs of cancerous tissues are significantly different from those of healthy tissues...

Background: The purpose of the present investigation is to unravel complexity involved in Lung Cancer diagnosis by inculcating a new automated deep learning based MobileNet (DLMN) with belief network (DBN), called DLMN-DBN model Internet Things and cloud enabled environment. Methods: This paper presents an optimal for lung cancer where parameters are optimized, feature extraction classification...

rectal cancer is the second most common cancer in large intestine. the prevalence and the number of young patients diagnosed with rectal cancer have made it as one of the major health problems in the world. with regard to the improved access to and use of modern screening tools, a number of new cases are diagnosed each year. considering the location of the rectum and its adjacent organs, manage...

Automatic and accurate detection of breast cancer metastases is meaningful for reducing the workload of the pathologists and reducing the cost of diagnosis. In this paper, we presented a learning-based method for automated prediction of breast cancer metastasis stages. This method is trained and validated on Camelyon17 challenge datasets. The method consists of three parts: tissue extraction, t...

Cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. Rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. Spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. Developing in Fourier transform inf...

The direct costs of medical care for cancer are examined at Kaiser Permanente (KP) in Northern California. Use data from July 1987 through June 1991 were obtained from KP automated files for all 21,977 KP patients in the Bay Area SEER registry with cancer at one of seven cancer sites. Medical charts were reviewed for a stratified sample of 886 patients. Costs were estimated for initial, continu...

Fast and accurate, non-linear autoassociators perform well in the face of unbalanced data sets, where few to no positive examples are present. In cancer diagnosis, for example, this can be convenient if only benign data is available, or if only a very small proportion of malignant data is available. As proof of concept, we apply a non-linear autoassociator to breast tumor data to predict the pr...