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Book ChapterDOI

Feature Extraction and Analysis of Breast Cancer Specimen

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TLDR
The breast cancer recognition technique is suggested through image processing and prevention by controlling p53 gene mutation to some greater extent and further pathological test, if necessary is suggested.
Abstract
In this paper, we propose a method to identify abnormal growth of cells in breast tissue and suggest further pathological test, if necessary. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal / lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue (invasive) are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some greater extent.

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Book ChapterDOI

Abnormal gastric cell segmentation based on shape using morphological operations

TL;DR: It is shown that it is possible to automatically recognize and differentiate images with normal and abnormal cells, and an image analysis framework to automatically recognizing and distinguished between normal gastric and gastric adenocarcinoma cells is introduced.
References
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Journal ArticleDOI

The cell graphs of cancer

TL;DR: It is demonstrated that the self-organizing clusters of cancerous cells exhibit distinctive graph metrics that distinguish them from the healthy cells and the unhealthy inflamed cells at the cellular level with an accuracy of at least 85%.
Proceedings ArticleDOI

Cell-Graph Mining for Breast Tissue Modeling and Classification

TL;DR: This paper compares the technique, hierarchical cell graphs, with other techniques based on intensity values of images, Delaunay triangulation of the cells, the previous technique proposed for brain tissue images and with the hybrid approach that is introduced in this paper.
Journal ArticleDOI

Robot-Assisted Real-Time Tumor Manipulation for Breast Biopsy

TL;DR: The idea here is to demonstrate that it is possible to manipulate a tumor in real time by applying controlled external force in an automated way such that the tumor does not deviate from the path of the needle.
Journal ArticleDOI

Simultaneous Ultrasound and MRI System for Breast Biopsy: Compatibility Assessment and Demonstration in a Dual Modality Phantom

TL;DR: Tests indicate that simultaneous US and MR imaging are feasible with properly-designed shielding, resulting in negligible broadband noise and minimal periodic RF noise in both modalities.
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