Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques
With the medical condition of pneumothorax, also known as collapsed lung, air builds up in the pleural cavity and causes the lung to collapse. It is a critical disorder that needs to be identified and treated right as it can cause breathing difficulties, low blood oxygen levels, and, in extreme circ...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016124001468 |
| _version_ | 1797210013524033536 |
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| author | Shwetambari Chiwhane Lalit Shrotriya Amol Dhumane Sonali Kothari Deepak Dharrao Pooja Bagane |
| author_facet | Shwetambari Chiwhane Lalit Shrotriya Amol Dhumane Sonali Kothari Deepak Dharrao Pooja Bagane |
| author_sort | Shwetambari Chiwhane |
| collection | DOAJ |
| description | With the medical condition of pneumothorax, also known as collapsed lung, air builds up in the pleural cavity and causes the lung to collapse. It is a critical disorder that needs to be identified and treated right as it can cause breathing difficulties, low blood oxygen levels, and, in extreme circumstances, death. Chest X-rays are frequently used to diagnose pneumothorax. Using the Mask R-CNN model and medical transfer learning, the proposed work offers • A novel method for pneumothorax segmentation from chest X-rays. • A method that takes advantage of the Mask R-CNN architecture's for object recognition and segmentation. • A modified model to address the issue of segmenting pneumothoraxes and then polish it using a sizable dataset of chest X-rays.The proposed method is tested against other pneumothorax segmentation techniques using a dataset of ‘chest X-rays’ with ‘pneumothorax annotations. The test findings demonstrate that proposed method outperforms other cutting-edge techniques in terms of segmentation accuracy and speed. The proposed method could lead to better patient outcomes by increasing the precision and effectiveness of pneumothorax diagnosis and therapy. Proposed method also benefits other medical imaging activities by using the medical transfer learning approaches which increases the precision of computer-aided diagnosis and treatment planning. |
| first_indexed | 2024-04-24T10:03:51Z |
| format | Article |
| id | doaj.art-1ea9b925c3d942fc8abe02c2b3d44a00 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-04-24T10:03:51Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-1ea9b925c3d942fc8abe02c2b3d44a002024-04-13T04:21:21ZengElsevierMethodsX2215-01612024-06-0112102692Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniquesShwetambari Chiwhane0Lalit Shrotriya1Amol Dhumane2Sonali Kothari3Deepak Dharrao4Pooja Bagane5Corresponding author.; Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaSymbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaSymbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaSymbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaSymbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaSymbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, IndiaWith the medical condition of pneumothorax, also known as collapsed lung, air builds up in the pleural cavity and causes the lung to collapse. It is a critical disorder that needs to be identified and treated right as it can cause breathing difficulties, low blood oxygen levels, and, in extreme circumstances, death. Chest X-rays are frequently used to diagnose pneumothorax. Using the Mask R-CNN model and medical transfer learning, the proposed work offers • A novel method for pneumothorax segmentation from chest X-rays. • A method that takes advantage of the Mask R-CNN architecture's for object recognition and segmentation. • A modified model to address the issue of segmenting pneumothoraxes and then polish it using a sizable dataset of chest X-rays.The proposed method is tested against other pneumothorax segmentation techniques using a dataset of ‘chest X-rays’ with ‘pneumothorax annotations. The test findings demonstrate that proposed method outperforms other cutting-edge techniques in terms of segmentation accuracy and speed. The proposed method could lead to better patient outcomes by increasing the precision and effectiveness of pneumothorax diagnosis and therapy. Proposed method also benefits other medical imaging activities by using the medical transfer learning approaches which increases the precision of computer-aided diagnosis and treatment planning.http://www.sciencedirect.com/science/article/pii/S2215016124001468Data Mining Approaches to Pneumothorax Detection |
| spellingShingle | Shwetambari Chiwhane Lalit Shrotriya Amol Dhumane Sonali Kothari Deepak Dharrao Pooja Bagane Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques MethodsX Data Mining Approaches to Pneumothorax Detection |
| title | Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques |
| title_full | Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques |
| title_fullStr | Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques |
| title_full_unstemmed | Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques |
| title_short | Data mining approaches to pneumothorax detection: Integrating mask-RCNN and medical transfer learning techniques |
| title_sort | data mining approaches to pneumothorax detection integrating mask rcnn and medical transfer learning techniques |
| topic | Data Mining Approaches to Pneumothorax Detection |
| url | http://www.sciencedirect.com/science/article/pii/S2215016124001468 |
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