Book ChapterDOI
Role of Imaging Modality in Premature Detection of Bosom Irregularity
Modepalli Kavitha,P. Venkata Krishna,V. Saritha +2 more
- pp 81-92
TLDR
This paper enhances the knowledge on two imaging practices, one is mammography and another is thermography, which aids to identify the limitations in existing technologies and helps to plan the new methodology of bosom tumor detection.Abstract:
Since last 60 years, bosom (breast) tumor is the major cause of death amid females worldwide. Earliest possible detection will raise the endurance rate of patients. Premature detection of bosom tumor is big challenge in medical science. Medical studies proven that imaging modalities like mammography, thermography, ultrasound, and magnetic resonance imaging (MRI) play a vigorous role to detect breast irregularity earliest. This paper enhances the knowledge on two imaging practices, one is mammography and another is thermography. It aids to identify the limitations in existing technologies and helps to plan the new methodology.read more
Citations
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Book ChapterDOI
Smart Lung Cancer Detector Using a Novel Hybrid for Early Detection of Lung Cancer
Praveen Tumuluru,S. Hrushikesava Raju,M V. B. T. Santhi,Gita Subba Rao,P. Seetha Rama Krishna,Ashok Koujalagi +5 more
TL;DR: In this article , a combination of COPD and lung cancer is made detected enhanced Low Dose Computed Tomography (LDCT) along with guaranteed convergence particle swarm optimization (GCPSO).
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An IoT Vision for Dietary Monitoring System and for Health Recommendations
TL;DR: In this paper , a methodology using IoT as a Dietary monitoring tool is developed to capture the food item and calculate the statistics that help to make a detailed report for the consumer and guide them with proper instructions.
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Smart Food Fare Canteen: Automation of Bills and Serving
Radha Mothukuri,S. Hrushikesava Raju,S. Adinarayna,Vijaya Chandra Jadala,Saiyed Faiayaz Waris,G. Subba Rao +5 more
TL;DR: In this paper, a real-time application considered is the canteen bill system, where the user will take a static bill for the kind of food that may be needed to feed on the bill counter, and automatic billing is accounted for using debit cards or QR codes through authorized payment gateway apps.
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Automatic Recommendations Over the Places Using Built-In Service Google Maps
TL;DR: In this paper , the authors proposed an approach that notifies the recommendations through dynamic and repeated structures at certain places and added the facility that monitors structures and clusters and intimates that to the concerned through automatic recommendations.
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A Hybrid Framework Using the Boosting Technique for Efficient Rain Streak Removal During Daylight
TL;DR: In this paper , layer priors and recurrent convolutional neural networks (RCNNs) are combined and applied for developing the best quality images, and the final output of a valid and best quality image is obtained by using the combined principle of these two approaches.
References
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Journal ArticleDOI
American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography
Debbie Saslow,Carla Boetes,Wylie Burke,Steven E. Harms,Martin O. Leach,Constance D. Lehman,Elizabeth A. Morris,Etta D. Pisano,Mitchell D. Schnall,Stephen F. Sener,Robert A. Smith,Ellen Warner,Martin J. Yaffe,Kimberly S. Andrews,Christy A. Russell +14 more
TL;DR: There are several risk subgroups for which the available data are insufficient to recommend for or against screening, including women with a personal history of breast cancer, carcinoma in situ, atypical hyperplasia, and extremely dense breasts on mammography.
Journal ArticleDOI
Support vector machines combined with feature selection for breast cancer diagnosis
TL;DR: The results show that the highest classification accuracy (99.51%) is obtained for the SVM model that contains five features, and this is very promising compared to the previously reported results.
Journal ArticleDOI
Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography
Sarah M. Friedewald,Elizabeth A. Rafferty,Stephen L. Rose,Melissa A. Durand,Donna Plecha,Julianne S. Greenberg,Mary Katherine Hayes,Debra S. Copit,Kara L. Carlson,Thomas M. Cink,Lora D. Barke,Linda N. Greer,Dave P. Miller,Emily F. Conant +13 more
TL;DR: Addition of tomosynthesis to digital mammography was associated with a decrease in recall rate and an increase in cancer detection rate, and further studies are needed to assess the relationship to clinical outcomes.
Journal ArticleDOI
Diagnostic accuracy of digital versus film mammography: exploratory analysis of selected population subgroups in DMIST.
Etta D. Pisano,R. Edward Hendrick,Martin J. Yaffe,Janet K. Baum,Suddhasatta Acharyya,Jean B. Cormack,Lucy A. Hanna,Emily F. Conant,Laurie L. Fajardo,Lawrence W. Bassett,Carl J. D'Orsi,Roberta A. Jong,Murray Rebner,Anna N. A. Tosteson,Constantine Gatsonis +14 more
TL;DR: Digital mammography performed significantly better than film for pre- and perimenopausal women younger than 50 years with dense breasts, but film tended nonsignificantly to perform better for women aged 65 years or older with fatty breasts.
Journal ArticleDOI
Comparative Effectiveness of Digital Versus Film-Screen Mammography in Community Practice in the United States: A Cohort Study
Karla Kerlikowske,Rebecca A. Hubbard,Diana L. Miglioretti,Berta M. Geller,Bonnie C. Yankaskas,Constance D. Lehman,Stephen H. Taplin,Edward A. Sickles +7 more
TL;DR: Overall, cancer detection with digital or film-screen mammography is similar in U.S. women aged 50 to 79 years undergoing screening mammography; women aged 40 to 49 years are more likely to have extremely dense breasts and estrogen receptor-negative tumors; if they are offered mammography screening, they may choose to undergo digital mammography to optimize cancer detection.