Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors

Abstract:: Millions of deaths all over the world are caused by breast cancer every year. It has become the most common type of cancer in women. Early detection will help in better prognosis and increases the chance of survival. Automating the classification using Computer-Aided Diagnosis (CAD) systems can make the diagnosis less prone to errors. Multi class classification and Binary classification of breast cancer is a challenging problem. Convolutional neural network architectures extract specific feature descriptors from images, which cannot represent different types of breast cancer. This leads to false positives in classification, which is undesirable in disease diagnosis. The current paper presents an ensemble Convolutional neural network for multi class classification and Binary classification of breast cancer. The feature descriptors from each network are combined to produce the final classification. In this paper, histopathological images are taken from publicly available BreakHis dataset and classified between 8 classes. The proposed ensemble model can perform better when compared to the methods proposed in the literature. The results showed that the proposed model could be a viable approach for breast cancer classification.

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Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489058 ◽

2018 ◽

Author(s):

D. S. Miguel Wanderley ◽

B. C. Ricardo Prudencio

Keyword(s):

Semantic Feature ◽

Feature Descriptors

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Virus-Like Particles in a Human Breast Cancer: Structural Similarity to Previously Reported Particles

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100072332 ◽

1973 ◽

Vol 31 ◽

pp. 378-379

Author(s):

G. Kasnic ◽

S. E. Stewart ◽

C. Urbanski

Keyword(s):

Breast Cancer ◽

Biological Activity ◽

Human Breast Cancer ◽

Osteogenic Sarcoma ◽

Human Tumor ◽

Structural Similarity ◽

Cell Tumor ◽

Human Breast ◽

Human Tumor Cell ◽

Type Particle

We have reported the maturation of an intracisternal A-type particle in murine plasma cell tumor cultures and three human tumor cell cultures (rhabdomyosarcoma, lung adenocarcinoma, and osteogenic sarcoma) after IUDR-DMSO activation. In all of these studies the A-type particle seems to develop into a form with an electron dense nucleoid, presumably mature, which is also intracisternal. A similar intracisternal A-type particle has been described in leukemic guinea pigs. Although no biological activity has yet been demonstrated for these particles, on morphologic grounds, and by the manner in which they develop within the cell, they may represent members of the same family of viruses.

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Further Ultrastructural Observations on Metastatic Nodules of Human Breast Cancer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010010086x ◽

1968 ◽

Vol 26 ◽

pp. 224-225

Author(s):

John L. Swedo ◽

R. W. Talley ◽

John H. L. Watson

Keyword(s):

Breast Cancer ◽

Human Breast Cancer ◽

Estrogen Therapy ◽

Specimen Preparation ◽

Human Breast ◽

Autophagic Vacuoles ◽

Previous Communication ◽

Linear Profiles ◽

Metastatic Nodule

Since the report, which described the ultrastructure of a metastatic nodule of human breast cancer after estrogen therapy, additional ultrastructural observations, including some which are correlative with pertinent findings in the literature concerning mycoplasmas, have been recorded concerning the same subject. Specimen preparation was identical to that in.The mitochondria possessed few cristae, and were deteriorated and vacuolated. They often contained particulates and fibrous structures, sometimes arranged in spindle-shaped bundles, Fig. 1. Another apparent aberration was the occurrence, Fig. 2 (arrows) of linear profiles of what seems to be SER, which lie between layers of RER, and are often recognizably continuous with them.It was noted that the structure of the round bodies, interpreted as within autophagic vacuoles in the previous communication, and of vesicular bodies, described morphologically closely resembled those of some mycoplasmas. Specifically, they simulated or reflected the various stages of replication reported for mycoplasmas grown on solid nutrient. Based on this observation, they are referred to here as “mycoplasma-like” structures, in anticipation of confirmatory evidence from investigations now in progress.

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The proliferation of breast cancer cells are inhibited by the human intrabody targeting cyclinD1

Cell Biology International ◽

10.1042/cbi034s049d ◽

2010 ◽

Vol 34 (8) ◽

pp. S49-S49

Author(s):

Lei Wang ◽

Xun Zhou ◽

Lihong Zhou ◽

Yong Chen ◽

Xun Zhu ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Cells ◽

Breast Cancer Cells

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Study of the mechanism responsible for multidrug resistance in breast cancer MCF-7 cell mediated by 14-3-3σ

Cell Biology International ◽

10.1042/cbi034s047c ◽

2010 ◽

Vol 34 (8) ◽

pp. S47-S47

Author(s):

Guopei Zheng ◽

Sisi Yi ◽

Yafei Li ◽

Fangren Kong ◽

Yanhui Yu ◽

...

Keyword(s):

Breast Cancer ◽

Multidrug Resistance ◽

Mcf 7

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Phonomotor Versus Semantic Feature Analysis Treatment for Anomia in 58 Persons With Aphasia: A Randomized Controlled Trial

Journal of Speech Language and Hearing Research ◽

10.1044/2019_jslhr-l-18-0257 ◽

2019 ◽

Vol 62 (12) ◽

pp. 4464-4482 ◽

Cited By ~ 9

Author(s):

Diane L. Kendall ◽

Megan Oelke Moldestad ◽

Wesley Allen ◽

Janaki Torrence ◽

Stephen E. Nadeau

Keyword(s):

Randomized Controlled Trial ◽

Response Latency ◽

Controlled Trial ◽

Semantic Knowledge ◽

Semantic Feature ◽

Feature Analysis ◽

Group Differences ◽

Randomized Controlled ◽

Confrontation Naming ◽

Semantic Feature Analysis

Purpose The ultimate goal of anomia treatment should be to achieve gains in exemplars trained in the therapy session, as well as generalization to untrained exemplars and contexts. The purpose of this study was to test the efficacy of phonomotor treatment, a treatment focusing on enhancement of phonological sequence knowledge, against semantic feature analysis (SFA), a lexical-semantic therapy that focuses on enhancement of semantic knowledge and is well known and commonly used to treat anomia in aphasia. Method In a between-groups randomized controlled trial, 58 persons with aphasia characterized by anomia and phonological dysfunction were randomized to receive 56–60 hr of intensively delivered treatment over 6 weeks with testing pretreatment, posttreatment, and 3 months posttreatment termination. Results There was no significant between-groups difference on the primary outcome measure (untrained nouns phonologically and semantically unrelated to each treatment) at 3 months posttreatment. Significant within-group immediately posttreatment acquisition effects for confrontation naming and response latency were observed for both groups. Treatment-specific generalization effects for confrontation naming were observed for both groups immediately and 3 months posttreatment; a significant decrease in response latency was observed at both time points for the SFA group only. Finally, significant within-group differences on the Comprehensive Aphasia Test–Disability Questionnaire ( Swinburn, Porter, & Howard, 2004 ) were observed both immediately and 3 months posttreatment for the SFA group, and significant within-group differences on the Functional Outcome Questionnaire ( Glueckauf et al., 2003 ) were found for both treatment groups 3 months posttreatment. Discussion Our results are consistent with those of prior studies that have shown that SFA treatment and phonomotor treatment generalize to untrained words that share features (semantic or phonological sequence, respectively) with the training set. However, they show that there is no significant generalization to untrained words that do not share semantic features or phonological sequence features.

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