A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images

A Bhattacharjee, S Rabea, A Bhattacharjee… - Frontiers in …, 2023 - frontiersin.org
Lung cancer is a fatal disease caused by an abnormal proliferation of cells in the lungs.
Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and …

Based on improved deep convolutional neural network model pneumonia image classification

L Kong, J Cheng - PloS one, 2021 - journals.plos.org
Pneumonia remains the leading infectious cause of death in children under the age of five,
killing about 700,000 children each year and affecting 7% of the world's population. X-ray …

A two-stage renal disease classification based on transfer learning with hyperparameters optimization

M Badawy, AM Almars, HM Balaha, M Shehata… - Frontiers in …, 2023 - frontiersin.org
Renal diseases are common health problems that affect millions of people around the world.
Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global …

Automatic lung cancer prediction from chest X-ray images using the deep learning approach

W Ausawalaithong, A Thirach… - 2018 11th …, 2018 - ieeexplore.ieee.org
Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an
important role in preventive care. Although both low dose computed tomography (LDCT) …

[HTML][HTML] Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

R Raza, F Zulfiqar, MO Khan, M Arif, A Alvi… - … Applications of Artificial …, 2023 - Elsevier
Lung cancer (LC) remains a leading cause of death worldwide. Early diagnosis is critical to
protect innocent human lives. Computed tomography (CT) scans are one of the primary …

An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

MA Hasan, F Haque, SR Sabuj, H Sarker, MOF Goni… - Technologies, 2024 - mdpi.com
To effectively treat lung and colon cancer and save lives, early and accurate identification is
essential. Conventional diagnosis takes a long time and requires the manual expertise of …

Lcdctcnn: Lung cancer diagnosis of ct scan images using cnn based model

M Mamun, MI Mahmud, M Meherin… - … Conference on Signal …, 2023 - ieeexplore.ieee.org
The most deadly and life-threatening disease in the world is lung cancer. Though early
diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate …

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

N Faruqui, MA Yousuf, M Whaiduzzaman… - Computers in Biology …, 2021 - Elsevier
Lung cancer, also known as pulmonary cancer, is one of the deadliest cancers, but yet
curable if detected at the early stage. At present, the ambiguous features of the lung cancer …

Detection of lung cancer on computed tomography using artificial intelligence applications developed by deep learning methods and the contribution of deep learning …

N Aydın, Ö Çelik, AF Aslan, A Odabaş… - Current Medical …, 2021 - ingentaconnect.com
Background: Every year, lung cancer contributes to a high percentage deaths in the world.
Early detection of lung cancer is important for its effective treatment, and non-invasive rapid …

ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework

HA Helaly, M Badawy, EM El-Gendy… - Neural Computing and …, 2024 - Springer
The survival rate of lung cancer relies significantly on how far the disease has spread when
it is detected, how it reacts to the treatment, the patient's overall health, and other factors …