Mohlo by se vám také líbit

Více informací o knize Classifying Chest Pathology Images Using Deep Learning Techniques

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 101 bodů

Anotace knihy

Chest radiographs are the most common examination in radiology in today's era. They are essential and very helpful for the supervision of various diseases associated with high mortality and display a wide range of potential information about various diseases. The most common verdicts in chest X-rays include Tuberculosis, Cardiomegaly & Mediastinum chest diseases. Distinguishing the various chest pathologies is a difficult task even to the human observer and for radiologist. Therefore, there is an interest in developing computer system diagnosis to assist radiologists in reading chest images through machine. The healthy versus pathology detection i.e. Tuberculosis and Cardiomegaly in chest radiography was explored using Laplacian of Gaussian (LoG), Local Binary Patterns (LBP), Speed up Robust Features (SURF) and also used the Bag-of-Visual-Words (BoVW) model using Artificial Neural Network (ANN) & Deep Learning techniques that classifies between healthy vs pathological cases.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Technik - Sonstiges

• Plný název: Classifying Chest Pathology Images Using Deep Learning Techniques
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 68
• EAN: 9786203027211
• ISBN: 6203027219
• ID: 36911110
• Nakladatelství: LAP LAMBERT Academic Publishing
• Hmotnost: 119 g
• Rozměry: 220 × 150 × 4 mm
• Datum vydání: 05. November 2020

Oblíbené z jiného soudku

---

---

---