Benign Malignant Classification of Lung Nodules using Machine Learning
Lung disease has been the deadliest among every single kind of tumor. Early discovery of tumor is needed to increment the survival rate for patients from disease. Our motivation is for building up an effective Computer Aided Diagnosis (CAD) system for lung nodules (knobs) discovery from pre notion district of lung and group the knobs into two categories Malignant (carcinogenic) or Benign (non-destructive). Computer-aided detection supported location frameworks can help radiologists to distinguish aspiratory knobs at a beginning time. In this research, a novel CAD system is developed for the order of aspiratory (pulmonary) knob as carcinogenic…
Mehr
CHF 135.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
Weitere Autoren: Degadwala, Sheshang / Upadhyay, Rocky
- ISBN: 978-620-2-30847-2
- EAN: 9786202308472
- Produktnummer: 39080328
- Verlag: Scholars' Press
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 284 S.
- Masse: H22.0 cm x B15.0 cm x D1.7 cm 441 g
- Abbildungen: Paperback
- Gewicht: 441
Über den Autor
Dr. Shivam Upadhyay is Currently Working as Assistant Professor in Sigma Institute of Engineering, Vadodara, Gujarat, India. He has obtained his Ph.D. Degree From Madhav University. He has Published 9 Research Papers and 3 Patents. He has Published 2 Books.
6 weitere Werke von Shivam Upadhyay:
Bewertungen
Anmelden