Thoracic complication detection on chest X-rays using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Egile Nagusiak: | Ratul, Rizwanul Hoque, Husain, Farah Anjum, Purnata, Tajmim Hossain, Pomil, Rifat Alam, Khandoker, Shaima |
---|---|
Beste egile batzuk: | Parvez, Zavid |
Argitaratua: |
2021
|
Gaiak: |
Antzeko izenburuak
-
Crystals, x-rays and proteins
nork: Sherwood, Dennis -
Elements of x-ray diffraction /
nork: Cullity, B. D. (Bernard Dennis)
Argitaratua: (2002) -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
nork: Sagor, Mostofa Kamal, et al.
Argitaratua: (2021) -
X-Ray studies and magnetic properties of Ni-Cu-Zn ferrite
nork: Rahman, M. L., et al.
Argitaratua: (2011) -
An efficient deep learning approach to detect COVID-19 infected lungs using image data
nork: Kabir, Asif Rezwan, et al.
Argitaratua: (2022)