Results 21 to 30 of about 256,807 (298)

Characteristics of Chest X-Ray in Patients with Cancer at the Dharmais Cancer Hospital Emergency Room during the COVID-19 Pandemic

Indonesian Journal of Cancer, 2021
Background: Conventional chest X-ray (chest X-ray) in Dharmais Cancer Hospital emergency room (ER) is still the primary modality to diagnose patients with cancer with dyspnoea complaints.
Bima Taruna Sakti, Rosalina, Jaka Pradipta   +2 more
doaj   +1 more source

CLINICAL SYMPTOMS AND CHEST X-RAY FINDINGS FOR EVALUATION OF CHEST X-RAY IN MANAGEMENT AND PREDICTION OF CLINICAL OUTCOME OF CONFIRM CASES OF COVID-19

Pakistan Armed Forces Medical Journal, 2020
Objective: To study clinical symptoms and chest X-ray findings for evaluation of chest X-ray in management of confirmed cases of COVID-19 and predicting the clinical outcome. Study Design: Cross sectional study.
Khawaja Muhammad Baqir Hassan, Tathir Baqir Hassan, Shakil Sarwar, Irfan Najam Sheen, Farrukh Islam, Syed Aown Raza Shah Bukhari, Muhammad Shahbaz Shoaib   +6 more
doaj   +3 more sources

COVID-19 Detection using Chest X-Ray [PDF]

E3S Web of Conferences, 2021
Over the past few months, the exponential increase in COVID-19 cases has been overwhelming for many healthcare systems across the world. With 114 million cases globally as of 28th February 2021, with India itself having 11.1 million cases, it has ...
Raheja Sagar, Chhabria Jatin, Wadhwa Gaurang, Ahuja Samay, Shrikant Yeole Anjali   +4 more
doaj   +1 more source

A case of missed golden sign: A case report

Apollo Medicine, 2023
Introduction: Chest X-rays have always been the baseline investigation to go for in the evaluation of pulmonary diseases. With the advent of new imaging techniques, focus has shifted from X-rays to computed tomography chest with a lesser time spent on ...
Ashok Bajpai, Shailesh Agrawal, Pranay Bajpai, Shobhana Agrawal   +3 more
doaj   +1 more source

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models

, 2023
Screening programs for early lung cancer diagnosis are uncommon, primarily due to the challenge of reaching at-risk patients located in rural areas far from medical facilities.
Paul, Manoranjan, Michael J. Horry, Chakraborty, S, Subrata Chakraborty, Zhu, J, Hui Wen Loh, Zhu, Jing, U. Rajendra Acharya, Horry, Michael J., Prabal Datta Barua, Acharya, U Rajendra, Manoranjan Paul, Barua, Prabal Datta, Loh, Hui Wen, Barua, PD, Biswajeet Pradhan, Jing Zhu, Paul, M, Horry, MJ, Pradhan, Biswajeet, Pradhan, B, Acharya, UR, Chakraborty, Subrata, Horry, Michael J, Loh, HW, Acharya, U. Rajendra   +25 more
core   +1 more source

The sensitivity and specificity of using a computer aided diagnosis program for automatically scoring chest X-rays of presumptive TB patients compared with Xpert MTB/RIF in Lusaka Zambia. [PDF]

, 2014
OBJECTIVE: To determine the sensitivity and specificity of a Computer Aided Diagnosis (CAD) program for scoring chest x-rays (CXRs) of presumptive tuberculosis (TB) patients compared to Xpert MTB/RIF (Xpert).
Ayles, Helen, Rosanna Spooner, Monde Muyoyeta, Laurens Hogeweg, Maureen Moyo, Muyoyeta, Monde, Spooner, R., Pragnya Maduskar, van Ginneken, Bram, Spooner, Rosanna, Bram van Ginneken, Kasese, N., Hogeweg, L., Moyo, Maureen, Kapata, N., Milimo, Deborah, Kapata, Nathan, Helen Ayles, Kasese, Nkatya, Ayles, H., Hogeweg, Laurens, Maduskar, P., Nathan Kapata, Muyoyeta, M., Moyo, M., Nkatya Kasese, Deborah Milimo, Ginneken, B. van, Maduskar, Pragnya, Milimo, D.   +29 more
core   +1 more source

Additional file 1 of Chest high-resolution computed tomography can make higher accurate stages for thoracic sarcoidosis than X-ray

, 2022
Additional file 1. Figures S1–S4. Figure S1. Chest X-ray and HRCT images of 3 patients diagnosed as sarcoidosis stage 0 by chest X-ray but stage I, II, and III, respectively, by HRCT presentations. Figure S2.
Wei Li (7081), Bing Jie (6917012), Ying Zhou (25031), Jia-cui Song (12425028), Li Shen (110858), Elyse E. Lower (12425037), Huiping Li (617425), Yuan Zhang (41832), Robert P. Baughman (7923512), Tao Chen (75911), Fen Zhang (608307), Yang Hu (315392), Yi-liang Su (12425034), Meng-meng Zhao (12425022), Qiu-hong Li (12425025), Shan-shan Du (12425019), Jing-yun Shi (12425031)   +16 more
core   +1 more source

RSUA Chest X-Ray Dataset

, 2023
RSUA Chest X-Ray dataset is Chest X-Ray image dataset owned by Airlangga University Hospital which has been converted from DICOM format into .BMP format. The dataset consists of X-Ray and Ground Truth images of each image.
Yunita, I
core   +2 more sources

Can Chest Ultrasound Replace Chest X-ray in Thoracic Surgery?

Tomography, 2022
Background: There is growing evidence that supports the use of chest ultrasound (CUS) versus conventional chest X-ray (CXR) in order to diagnose postoperative complications.
Konstantinos Grapatsas, Vasileios Leivaditis, Benjamin Ehle, Anastasia Papaporfyriou   +3 more
doaj   +1 more source

(a): Normal chest X-ray image, (b): Chest X-ray image of patients with pneumonia.

, 2021
(a): Normal chest X-ray image, (b): Chest X-ray image of patients with pneumonia.
Jinyong Cheng (11649441), Lingzhi Kong (407955)   +1 more
core   +1 more source