---
# System prepended metadata

title: 'Survey: Medical Image'
tags: [Medical]

---

# Survey: Medical Image
###### tags:`Medical`
## [Differentiation Between Malignant and Benign Pulmonary Nodules by Using Automated Three-Dimensional High-Resolution Representation Learning With Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography.](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971840/pdf/fmed-09-773041.pdf)
###### tags:Molecular Imaging and Radionuclide Therapy
###### 01 Jun 2022
### **Abstract**:
 proposed a novel deep learning model that aided in the ***automatic*** differentiation between ***malignant and benign pulmonary nodules*** on FDG PET-CT. 
 
### **Method**:
they designed a novel deep learning three-dimensional (3D) high-resolution representation learning (HRRL) model for the automated classification of pulmonary nodules based on FDG PET-CT images without manual annotation by experts.

#### Preprocessing for Automated Models:
![](https://i.imgur.com/Q5vMUAY.png)
* 於 -160 的值呈現全黑，值 >240 呈現全白（圖 2A）->幫助程序自動確定哪個橫軸切片圖像是肺實質的上邊緣。
* OpenCV 包的輪廓函數（圖 2B）

#### dataset(CT:256 × 256 × 96 &PET:64 × 64 × 96):
112 case( 60 men and 52 women):
 1) 33 benign nodules:4 x ground-glass nodules (GGN) & 29 x solid nodules
 2) 79 malignant nodules:12 x ground-glass nodules (GGN) & 67 x solid nodules
#### Model:
![](https://i.imgur.com/FZ2exMK.png)
![](https://i.imgur.com/rEinksH.png)







## 沒有辦法看的
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging
https://www.pet.theclinics.com/article/S1556-8598(21)00079-1/fulltext

Artificial Intelligence for the Characterization of Pulmonary Nodules, Lung Tumors and Mediastinal Nodes on PET/CT
https://www.sciencedirect.com/science/article/abs/pii/S0001299820301069

A Review on Deep Learning Method for Lung Cancer Stage Classification Using PET-CT
https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781119743187.ch2
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis
Link: https://www.sciencedirect.com/science/article/abs/pii/S0169260722003303

A Review on Deep Learning Method for Lung Cancer Stage Classification Using PET-CT
Link: https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781119743187.ch2
 
Deep learning-based multimodal image analysis for cervical cancer detection
Link: https://www.sciencedirect.com/science/article/abs/pii/S1046202322001189

Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non–Small Cell Lung Cancer
Link: https://pubs.rsna.org/doi/abs/10.1148/radiol.2021210902
 
Novel Approaches to Imaging the Pulmonary Vasculature and Right Heart
Link: https://www.ahajournals.org/doi/abs/10.1161/CIRCRESAHA.121.319990
 
Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma
Link: https://link.springer.com/chapter/10.1007/978-3-030-98253-9_28

