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Lung Cancer Diagnosis

Papers

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Showing 51–63 of 63 papers

TitleStatusHype
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—0
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features—0
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study—0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review—0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
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