A method of acquiring a medical image of an X-ray apparatus performed by one or more computers, the method comprising: acquiring an original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) of an object and capturing condition information of the object, wherein the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) indicates an entire radiation image based on radiation incident on an X-ray detector ; acquiring a scatter radiation image related to the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) by inputting the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the capturing condition information to a learning network model configured to estimate scatter radiation, wherein the scatter radiation image indicates an image estimated through a scatter estimation process; and outputting a scatter radiation-processed medical image from the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) based on the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the scatter radiation image , the scatter radiation-processed medical image having less scatter radiation information than the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5), wherein the learning network model configured to estimate scatter radiation comprises a learning network model taught based on learning data , said learning data comprising a plurality of scatter radiation images , a plurality of pieces of capturing condition information related to a plurality of scatter radiation images and a characteristic of a region of the object, wherein original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and a degree of intensity of scatter radiation included in each of scatter radiation-processed medical images acquired from the original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) are provided as a part of the learning data. acquiring an original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) of an object and capturing condition information of the object, wherein the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) indicates an entire radiation image based on radiation incident on an X-ray detector ; acquiring a scatter radiation image related to the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) by inputting the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the capturing condition information to a learning network model configured to estimate scatter radiation, wherein the scatter radiation image indicates an image estimated through a scatter estimation process; and outputting a scatter radiation-processed medical image from the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) based on the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the scatter radiation image , the scatter radiation-processed medical image having less scatter radiation information than the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5), wherein the learning network model configured to estimate scatter radiation comprises a learning network model taught based on learning data , said learning data comprising a plurality of scatter radiation images , a plurality of pieces of capturing condition information related to a plurality of scatter radiation images and a characteristic of a region of the object, wherein original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and a degree of intensity of scatter radiation included in each of scatter radiation-processed medical images acquired from the original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) are provided as a part of the learning data. <EOS>