Analysis of Comparative Methods for Machine Learning-Based Lung Cancer Prediction
HS Negi, B Kuamr, N Singh, JS Bhatt… - 2024 International …, 2024 - ieeexplore.ieee.org
The older tiers and led expert documents are used to detect cancer; this could be useful.
There has to be room for human mistake. It results in the possibility of inaccuracy in the …
There has to be room for human mistake. It results in the possibility of inaccuracy in the …
Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image
F Sultana Eshita, A Bakar Siddique Mahi… - Novel & Intelligent …, 2024 - Springer
Genetic mutations or other changes in DNA can contribute to the uncontrolled cell growth
that occurs in the human body, known as cancer. Undoubtedly, lung and colon cancers are …
that occurs in the human body, known as cancer. Undoubtedly, lung and colon cancers are …
Pulmonary Prognosis: Predictive Analytics for Lung Cancer Detection
MK Ravindranathan… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Globally, lung cancer is the primary cause of cancer-related deaths, highlighting the critical
need for effective early detection and prognosis techniques. This study investigates the …
need for effective early detection and prognosis techniques. This study investigates the …
[PDF][PDF] High-Precision Detection of Lung Adenocarcinoma Using Augmented VGG16 and Transfer Learning
BR Sandhya, L Anushree… - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: The research aims to enhance the effectiveness of the deep learning model for
detecting lung adenocarcinoma using VGG16 CNN with transfer learning on medical …
detecting lung adenocarcinoma using VGG16 CNN with transfer learning on medical …
LaCK: Lung Cancer Classification and Detection using Convolutional Neural Network-based Gated Recurrent Unit Neural Network Model
Cancer instills fear in people worldwide, with millions succumbing to its grasp each year.
Among the various types, lung cancer stands as a prominent contributor to this alarming …
Among the various types, lung cancer stands as a prominent contributor to this alarming …
Harnessing Continual Learning in Deep Neural Networks for Improved Lung Cancer Diagnosis
M Wahengbam, M Sriram… - … Networks and Application …, 2023 - ieeexplore.ieee.org
Deep learning methods have shown tremendous potential in the prompt and accurate
diagnosis of lung cancer by allowing the discovery of minute patterns in large-scale medical …
diagnosis of lung cancer by allowing the discovery of minute patterns in large-scale medical …
Deteksi Mutasi Kanker Paru Pada Citra CT-Scan Menggunakan Pre-Trained CNN-VGG19
Paru-paru merupakan organ vital yang mendukung sistem pernapasan, namun dapat
mengalami gangguan seperti kanker paru yang dapat menyebar atau bermutasi jika tidak …
mengalami gangguan seperti kanker paru yang dapat menyebar atau bermutasi jika tidak …
Early stage lung cancer detection using RESNET
A Srivastava, A Rai, A Khan - Emerging Trends in Computer …, 2025 - taylorfrancis.com
Lung cancer remains the prime global demise inciting factor, especially with the highest
mortality rates since 1985. Detecting it early and accurately is crucial for improving patient …
mortality rates since 1985. Detecting it early and accurately is crucial for improving patient …
Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image
Genetic mutations or other changes in DNA can contribute to the uncontrolled cell growth
that occurs in the human body, known as cancer. Undoubtedly, lung and colon cancers are …
that occurs in the human body, known as cancer. Undoubtedly, lung and colon cancers are …