Table 2.
Surveys and reviews mentioning or targeting pulmonary diagnosis, G: general, TaS: task specific, IMS: image modality specific, TgS: target specific, TtS: treatment specific, y: checked
| Title | Year | Citations | G | TaS | IMS | TgS | TtS |
|---|---|---|---|---|---|---|---|
| A survey on deep learning in medical image analysis | 2017 | 2631 | Y | ||||
| Deep learning in medical | 2017 | 870 | Y | ||||
| Machine learning for medical imaging | 2017 | 244 | Y | ||||
| Deep learning applications in medical image analysis | 2017 | 185 | Y | ||||
| Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology | 2017 | 121 | Y | ||||
| Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning | 2017 | 58 | Y | ||||
| Abnormality detection and localization in chest X-rays using deep convolutional neural networks | 2017 | 41 | Y | Y | Y | ||
| Segmentation technique for medical image processing: a survey | 2017 | 6 | Y | ||||
| Computer-aided detection systems to improve lung cancer early diagnosis: state-of-the-art and challenges | 2017 | 5 | Y | Y | |||
| An overview of deep learning in medical imaging focusing on MRI | 2018 | 73 | Y | ||||
| Survey on deep learning for radiotherapy | 2018 | 58 | Y | ||||
| Computer-aided detection in chest radiography based on artificial intelligence: a survey | 2018 | 35 | Y | ||||
| Automatic nodule detection for lung cancer in CT images: a review | 2018 | 9 | Y | Y | Y | ||
| Comparing deep learning models for population screening using chest radiography | 2018 | 9 | Y | ||||
| Deep learning in medical imaging and radiation therapy | 2019 | 72 | Y | ||||
| Artificial intelligence in cancer imaging: clinical challenges and applications | 2019 | 66 | Y | ||||
| Deep learning in medical image registration: a survey | 2019 | 16 | Y | ||||
| Going deep in medical image analysis: concepts, methods, challenges and future directions | 2019 | 7 | Y | ||||
| Automatic pulmonary nodule detection applying deep learning or machine learning algorithms to the LIDC-IDRI database: a systematic review | 2019 | 5 | Y | Y | |||
| A review on lung boundary detection in chest X-rays | 2019 | 4 | Y | Y | Y | ||
| Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET | 2019 | 0 | Y | ||||
| Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect | 2019 | 0 | Y | ||||
| A comprehensive review on multi-organs tumor detection based on machine learning | 2020 | 1 | Y | Y | |||
| Image segmentation using deep learning: a survey | 2020 | 0 | Y |